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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 25 /

Proceedings Of The Twenty-Fifth AAAI Conference On Artificial Intelligence

Sponsored by the Association for the Advancement of Artificial Intelligence

Wolfram Burgard and Dan Roth, Program Cochairs.

August 7 –11, 2011, San Francisco, California USA. Published by The AAAI Press, Menlo Park, California. This proceedings is also available in book and CD format.

Please Note: Abstracts are linked to individual titles, and will appear in a separate browser window. Full-text versions of the papers are linked to the abstract text. PDF file sizes may be large!

Papers

  • Understanding User Migration Patterns in Social Media

    Shamanth Kumar, Reza Zafarani, Huan Liu

    PDF
  • Heterogeneous Transfer Learning for Image Classification

    Yin Zhu, Yuqiang Chen, Zhongqi Lu, Sinno Pan, Gui-Rong Xue, Yong Yu, Qiang Yang

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  • Towards Large-Scale Collaborative Planning: Answering High-Level Search Queries Using Human Computation

    Edith Law, Haoqi Zhang

    PDF
  • Predicting Author Blog Channels with High Value Future Posts for Monitoring

    Shanchan Wu, Tamer Elsayed, William Rand, Louiqa Raschid

    PDF
  • Learning to Suggest Questions in Online Forums

    Tom Zhou, Chin-Yew Lin, Irwin King, Michael R. Lyu, Young-In Song, Yunbo Cao

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  • Identifying Missing Node Information in Social Networks

    Ron Eyal, Sarit Kraus, Avi Rosenfeld

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  • Temporal Dynamics of User Interests in Tagging Systems

    Dawei Yin, Liangjie Hong, Zhenzhen Xue, Brian Davison

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  • Artificial Intelligence for Artificial Artificial Intelligence

    Peng Dai, . Mausam, Daniel Weld

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  • User-Controllable Learning of Location Privacy Policies With Gaussian Mixture Models

    Justin Cranshaw, Jonathan Mugan, Norman Sadeh

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  • Personalizing Your Web Services with Constructive DL Reasoning Join

    Freddy Lecue

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  • SemRec: A Semantic Enhancement Framework for Tag Based Recommendation

    Guandong Xu, Yanhui Gu, Peter Dolog, Yanchun Zhang, Masaru Kitsuregawa

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  • Transfer Learning for Multiple-Domain Sentiment Analysis — Identifying Domain Dependent/Independent Word Polarity

    Yasuhisa Yoshida, Tsutomu Hirao, Tomoharu Iwata, Masaaki Nagata, Yuji Matsumoto

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  • Propagating Both Trust and Distrust with Target Differentiation for Combating Web Spam

    Xianchao Zhang, You Wang, Nan Mou, Wenxin Liang

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  • Analyzing and Predicting Not-Answered Questions in Community-based Question Answering Services

    Lichun Yang, Shenghua Bao, Qingliang Lin, Xian Wu, Dingyi Han, Zhong Su, Yong Yu

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  • A Whole Page Click Model to Better Interpret Search Engine Click Data

    Weizhu Chen, Zhanglong Ji, Si Shen, Qiang Yang

  • Active Dual Collaborative Filtering with Both Item and Attribute Feedback

    Luheng He, Nathan Liu, Qiang Yang

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  • Integrating Community Question and Answer Archives

    Wei Wei, Gao Cong, Xiaoli Li, See-Kiong Ng, Guohui Li

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  • Trust Transitivity in Complex Social Networks

    Guanfeng Liu, Yan Wang, Mehmet Orgun

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  • Generating True Relevance Labels in Chinese Search Engine Using Clickthrough Data

    Hengjie Song, Chunyan Miao, Zhiqi Shen

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  • An Intelligent System for Prolonging Independent Living of Elderly

    Bogdan Pogorelc

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  • Towards Practical ABox Abduction in Large OWL DL Ontologies

    Jianfeng Du, Guilin Qi, Yi-Dong Shen, Jeff Pan

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  • Creative Introspection and Knowledge Acquisition

    Tony Veale, Guofu Li

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  • Maximum Entropy Context Models for Ranking Biographical Answers to Open-Domain Definition Questions

    Alejandro Figueroa, John Atkinson

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  • Commonsense Causal Reasoning Using Millions of Personal Stories

    Andrew Gordon, Cosmin Bejan, Kenji Sagae

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  • Detecting Multilingual and Multi-Regional Query Intent in Web Search

    Yi Chang, Ruiqiang Zhang, Srihari Reddy, Yan Liu

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  • Cross-Language Latent Relational Search: Mapping Knowledge across Languages

    Nguyen Tuan Duc, Danushka Bollegala, Mitsuru Ishizuka

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  • Continual Planning with Sensing for Web Service Composition

    Eirini Kaldeli, Alexander Lazovik, Marco Aiello

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  • Fast Query Recommendation by Search

    Qixia Jiang, Maosong Sun

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  • CCRank: Parallel Learning to Rank with Cooperative Coevolution

    Shuaiqiang Wang, Byron Gao, Ke Wang, Hady Lauw

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  • Extending the Applications of Recent Real-Time Heuristic Search

    Daniel Huntley, Vadim Bulitko

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  • Adaptive Neighborhood Inverse Consistency as Lookahead for Non-Binary CSPs

    Robert Woodward, Shant Karakashian, Berthe Choueiry, Christian Bessiere

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  • Learning Compact Representations of Time-Varying Processes

    Philip Bachman, Doina Precup

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  • Medical Treatment Conflict Resolving in Answer Set Programming

    Forrest Sheng Bao, Zhizheng Zhang, Yuanlin Zhang

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  • Toward Learning to Solve Insertion Tasks: A Developmental Approach Using Exploratory Behaviors and Proprioception

    Philip Koonce, Vasha Dutell, Jose Farrington, Vladimir Sukhoy, Alexander Stoytchev

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  • Can Collective Sentiment Expressed on Twitter Predict Political Elections?

    Jessica Chung, Eni Mustafaraj

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  • An Event-Based Framework for Process Inference

    Michael Joya

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  • Efficient Issue-Grouping Approach for Multi-Issues Negotiation between Exaggerator Agents

    Katsuhide Fujita, Takayuki Ito, Mark Klein

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  • Using Conditional Random Fields to Exploit Token Structure and Labels for Accurate Semantic Annotation

    Aman Goel, Craig Knoblock, Kristina Lerman

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  • On the Effectiveness of Belief State Representation in Contingent Planning

    Son To, Tran Son, Enrico Pontelli

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  • Hybrid Tractable Classes of Binary Quantified Constraint Satisfaction Problems

    Jian Gao, Minghao Yin, Junping Zhou

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  • Exact Phase Transitions and Approximate Algorithm of #CSP

    Ping Huang, Minghao Yin, Ke Xu

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  • Modeling Opponent Actions for Table-Tennis Playing Robot

    Zhikun Wang, Abdeslam Boularias, Katharina Mülling, Jan Peters

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  • On the Discovery and Utility of Precedence Constraints in Temporal Planning

    Yanmei Hu, Minghao Yin, Dunbo Cai

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  • Time Complexity of Iterative-Deepening A*: The Informativeness Pathology (Abstract)

    Levi Lelis, Sandra Zilles, Robert Holte

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  • Ad Hoc Teamwork in Variations of the Pursuit Domain

    Samuel Barrett, Peter Stone

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  • Controlling Selection Bias in Causal Inference

    Elias Bareinboim, Judea Pearl

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  • Role-Based Ad Hoc Teamwork

    Katie Genter, Noa Agmon, Peter Stone

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  • Discovering Latent Strategies

    Xiaoxi Xu

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  • Generating Explanations for Complex Biomedical Queries

    Umut Öztok, Esra Erdem

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  • Using Partitions and Superstrings for Lossless Compression of Pattern Databases

    Ethan Schreiber, Richard Korf

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  • Conflict-Driven Constraint Answer Set Solving with Lazy Nogood Generation

    Christian Drescher, Toby Walsh

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  • Multiple-Instance Learning: Multiple Feature Selection on Instance Representation

    I-Hong Jhuo, D. Lee

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  • A Bayesian Reinforcement Learning framework Using Relevant Vector Machines

    Nikolaos Tziortziotis, Konstantinos Blekas

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  • Provoking Opponents to Facilitate the Recognition of their Intentions

    Francis Bisson, Froduald Kabanza, Abder Rezak Benaskeur, Hengameh Irandoust

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  • Web Personalization and Cohort Information Services for Natural Resource Managers

    Crystal Redman

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  • Probabilistic Plan Graph Heuristic for Probabilistic Planning

    Yolanda E-Martín, Maria R-Moreno, David Smith

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  • Solution Quality Improvements for Massively Multi-Agent Pathfinding

    Ko-Hsin Wang, Adi Botea, Philip Kilby

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  • Large Scale Diagnosis Using Associations between System Outputs and Components

    Ting Guo, Zhanshan Li, Ruizhi Guo, Xingquan Zhu

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  • Evolution of Node Behavior in Link Prediction

    Baojun Qiu, Qi He, John Yen

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  • Convergence Properties of (μ + λ) Evolutionary Algorithms

    Aram Ter-Sarkisov, Stephen Marsland

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  • A Local Monte Carlo Tree Search Approach in Deterministic Planning

    Fan Xie, Hootan Nakhost, Martin Müller

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  • Dynamic Batch Mode Active Learning via L1 Regularization

    Shayok Chakraborty, Vineeth Balasubramanian, Sethuraman Panchanathan

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  • Using Neural Networks for Evaluation in Heuristic Search Algorithm

    Hung-Che Chen, Jyh-Da Wei

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  • An Efficient and Complete Approach for Cooperative Path-Finding

    Ryan Luna, Kostas Bekris

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  • Reconstructing the Stochastic Evolution Diagram of Dynamic Complex Systems

    Navid Bazzazzadeh, Benedikt Brors, Roland Eils

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  • Assessing Quality in the Web of Linked Sensor Data

    Chris Baillie, Peter Edwards, Edoardo Pignotti

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  • Heuristic Planning in Adversarial Dynamic Domains

    Simon Chamberland, Froduald Kabanza

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  • Solving 4×5 Dots-And-Boxes

    Joseph Barker, Richard Korf

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  • A Framework for Integration of Logical and Probabilistic Knowledge

    Jingsong Wang, Marco Valtorta

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  • Improving Cost-Optimal Domain-Independent Symbolic Planning

    Peter Kissmann, Stefan Edelkamp

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  • Recognizing Plans with Loops Represented in a Lexicalized Grammar

    Christopher Geib, Robert Goldman

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  • A Switching Planner for Combined Task and Observation Planning

    Moritz Göbelbecker, Charles Gretton, Richard Dearden

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  • Exploiting Path Refinement Abstraction in Domain Transition Graphs

    Peter Gregory, Derek Long, Craig McNulty, Susan Murphy

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  • Qualitative Numeric Planning

    Siddharth Srivastava, Shlomo Zilberstein, Neil Immerman, Hector Geffner

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  • Exploiting Problem Symmetries in State-Based Planners

    Nir Pochter, Aviv Zohar, Jeffrey Rosenschein

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  • Conjunctive Representations in Contingent Planning: Prime Implicates Versus Minimal CNF Formula

    Son To, Tran Son, Enrico Pontelli

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  • Extending Classical Planning Heuristics to Probabilistic Planning with Dead-Ends

    Florent Teichteil-Königsbuch, Vincent Vidal, Guillaume Infantes

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  • Utilizing Partial Policies for Identifying Equivalence of Behavioral Models

    Yifeng Zeng, Prashant Doshi, Yinghui Pan, Hua Mao, Muthukumaran Chandrasekaran, Jian Luo

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  • Abductive Markov Logic for Plan Recognition

    Parag Singla, Raymond Mooney

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  • When to Stop? That Is the Question

    Shulamit Reches, Meir Kalech, Rami Stern

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  • Fast Parallel and Adaptive Updates for Dual-Decomposition Solvers

    Ozgur Sumer, Umut Acar, Alexander Ihler, Ramgopal Mettu

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  • Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models

    Chloe Kiddon, Pedro Domingos

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  • Stopping Rules for Randomized Greedy Triangulation Schemes

    Andrew Gelfand, Kalev Kask, Rina Dechter

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  • Dual Decomposition for Marginal Inference

    Justin Domke

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  • Memory-Efficient Dynamic Programming for Learning Optimal Bayesian Networks

    Brandon Malone, Changhe Yuan, Eric Hansen

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  • An Empirical Study of Bagging Predictors for Different Learning Algorithms

    Guohua Liang, Xingquan Zhu, Chengqi Zhang

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  • Efficient Methods for Lifted Inference with Aggregate Factors

    Jaesik Choi, Rodrigo de Salvo Braz, Hung Bui

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  • Online Updating the Generalized Inverse of Centered Matrices

    Qing Wang, Liang Zhang

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  • Optimal Subset Selection for Active Learning

    Yifan Fu, Xingquan Zhu

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  • Automated Abstractions for Patrolling Security Games

    Nicola Basilico, Nicola Gatti

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  • Optimal Route Planning for Electric Vehicles in Large Networks

    Jochen Eisner, Stefan Funke, Sabine Storandt

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  • Comparing Action-Query Strategies in Semi-Autonomous Agents

    Robert Cohn, Edmund Durfee, Satinder Singh

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  • Complete Information Pursuit Evasion in Polygonal Environments

    Kyle Klein, Subhash Suri

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  • Learning Dimensional Descent for Optimal Motion Planning in High-dimensional Spaces

    Paul Vernaza, Daniel Lee

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  • Online Graph Pruning for Pathfinding On Grid Maps

    Daniel Harabor, Alban Grastien

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  • Can Quadrotors Succeed as an Educational Platform?

    Zachary Dodds

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  • Playing Chess with a Human-Scale Mobile Manipulator

    Michael Ferguson, Kim Gero, Joao Salles, James Weis

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  • A Robotics Environment for Software Engineering Courses

    Stephan Goebel, Ruben Jubeh, Simon-Lennert Raesch

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  • Hekateros: A Desktop 5 Degree-of-Freedom Robot Arm for the Small-Scale Manipulation Robot Chess Challenge

    Kim Wheeler, Robin Knight, Collin Horvat, Daniel Packard, Casey Kuhns, Brent Wilkins, Robert Shiely

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  • Approaches to Multi-Robot Exploration and Localization

    Arif Ozgelen, Michael Costantino, Adiba Ishak, Moses Kingston, Diquan Moore, Samuel Sanchez, J. Munoz, Simon Parsons, Elizabeth Sklar

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  • The Inter-League Extension of the Traveling Tournament Problem and its Application to Sports Scheduling

    Richard Hoshino, Ken-ichi Kawarabayashi

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  • Learning Tasks and Skills Together From a Human Teacher

    Baris Akgun, Kaushik Subramanian, Jaeeun Shim, Andrea Thomaz

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  • Lego Plays Chess: A Low-Cost, Low-Complexity Approach to Intelligent Robotics

    Michael Lanighan, Jerod Sikorskyj, Debra Burhans, Robert Selkowitz

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  • Learning from Demonstration in Spatial Exploration

    J. Munoz, Arif Ozgelen, Elizabeth Sklar

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  • A Novel Technique for Avoiding Plateaus of Greedy Best-First Search in Satisficing Planning

    Tatsuya Imai, Akihiro Kishimoto

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  • Generating Diverse Plans Using Quantitative and Qualitative Plan Distance Metrics

    Alexandra Coman, Hector Munoz-Avila

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  • Planning for Operational Control Systems with Predictable Exogenous Events

    Ronen Brafman, Carmel Domshlak, Yagil Engel, Zohar Feldman

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  • On Improving Conformant Planners by Analyzing Domain-Structures

    Khoi Nguyen, Vien Tran, Tran Son, Enrico Pontelli

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  • A POMDP Model of Eye-Hand Coordination

    Tom Erez, Julian Tramper, William Smart, Stan Gielen

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  • Partially Supervised Text Classification with Multi-Level Examples

    Tao Liu, Xiaoyong Du, Yongdong Xu, Minghui Li, Xiaolong Wang

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  • Exploiting Phase Transition in Latent Networks for Clustering

    Vahed Qazvinian, Dragomir Radev

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  • Semantic Relatedness Using Salient Semantic Analysis

    Samer Hassan, Rada Mihalcea

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  • A Simple and Effective Unsupervised Word Segmentation Approach

    Songjian Chen, Yabo Xu, Huiyou Chang

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  • Tree Sequence Kernel for Natural Language

    Jun Sun, Min Zhang, Chew Lim Tan

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  • Learning to Interpret Natural Language Navigation Instructions from Observations

    David Chen, Raymond Mooney

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  • Integrating Clustering and Multi-Document Summarization by Bi-Mixture Probabilistic Latent Semantic Analysis (PLSA) with Sentence Bases

    Chao Shen, Tao Li, Chris Ding

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  • DISCO: Describing Images Using Scene Contexts and Objects

    Ifeoma Nwogu, Yingbo Zhou, Christopher Brown

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  • Using Semantic Cues to Learn Syntax

    Tahira Naseem, Regina Barzilay

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  • Lossy Conservative Update (LCU) Sketch: Succinct Approximate Count Storage

    Amit Goyal, Hal Daume

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  • Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation

    Stefanie Tellex, Thomas Kollar, Steven Dickerson, Matthew Walter, Ashis Banerjee, Seth Teller, Nicholas Roy

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  • Learning Accuracy and Availability of Humans Who Help Mobile Robots

    Stephanie Rosenthal, Manuela Veloso, Anind Dey

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  • Autonomous Skill Acquisition on a Mobile Manipulator

    George Konidaris, Scott Kuindersma, Roderic Grupen, Andrew Barto

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  • Multi-Observation Sensor Resetting Localization with Ambiguous Landmarks

    Brian Coltin, Manuela Veloso

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  • Balancing Safety and Exploitability in Opponent Modeling

    Zhikun Wang, Abdeslam Boularias, Katharina Mülling, Jan Peters

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  • Continuous Occupancy Mapping with Integral Kernels

    Simon O'Callaghan, Fabio Ramos

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  • Self-Aware Traffic Route Planning

    David Wilkie, Jur van den Berg, Ming Lin, Dinesh Manocha

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  • Multiagent Patrol Generalized to Complex Environmental Conditions

    Noa Agmon, Daniel Urieli, Peter Stone

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  • Recognizing Text Through Sound Alone

    Wenzhe Li, Tracy Hammond

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  • A Scalable Tree-Based Approach for Joint Object and Pose Recognition

    Kevin Lai, Liefeng Bo, Xiaofeng Ren, Dieter Fox

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  • Composite Social Network for Predicting Mobile Apps Installation

    Wei Pan, Nadav Aharony, Alex Pentland

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  • First-Order Logic with Counting for General Game Playing

    Lukasz Kaiser, Lukasz Stafiniak

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  • Co-Evolution of Selection and Influence in Social Networks

    Yoon-Sik Cho, Greg Steeg, Aram Galstyan

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  • Intrinsic Chess Ratings

    Kenneth Regan, Guy Haworth

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  • Quantity Makes Quality: Learning with Partial Views

    Nicolò Cesa-Bianchi, Shai Shalev-Shwartz, Ohad Shamir

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  • Recommendation Sets and Choice Queries: There Is No Exploration/Exploitation Tradeoff!

    Paolo Viappiani, Craig Boutilier

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  • A POMDP-Based Optimal Control of P300-Based Brain-Computer Interfaces

    Jaeyoung Park, Kee-Eung Kim, Yoon-Kyu Song

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  • New Expressive Languages for Ontological Query Answering

    Andrea Calì, Georg Gottlob, Andreas Pieris

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  • The Next Best Solution

    Ronen Brafman, Enrico Pilotto, Francesca Rossi, Domenico Salvagnin, Kristen Venable, Toby Walsh

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  • Global Seismic Monitoring: A Bayesian Approach

    Nimar Arora, Stuart Russell, Paul Kidwell, Erik Sudderth

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  • Termination and Correctness Analysis of Cyclic Control

    Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein

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  • Planning with Specialized SAT Solvers

    Jussi Rintanen

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  • Design and Analysis of Value Creation Networks

    Sampath Kameshwaran, Sameep Mehta, Vinayaka Pandit

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  • End-User Feature Labeling via Locally Weighted Logistic Regression

    Weng-Keen Wong, Ian Oberst, Shubhomoy Das, Travis Moore, Simone Stumpf, Kevin McIntosh, Margaret Burnett

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  • Two Visual Strategies for Solving the Raven’s Progressive Matrices Intelligence Test

    Maithilee Kunda, Keith McGreggor, Ashok Goel

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  • Identifying Evaluative Sentences in Online Discussions

    Zhongwu Zhai, Bing Liu, Lei Zhang, Hua Xu, Peifa Jia

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  • Effective End-User Interaction with Machine Learning

    Saleema Amershi, James Fogarty, Ashish Kapoor, Desney Tan

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  • WikiSimple: Automatic Simplification of Wikipedia Articles

    Kristian Woodsend, Mirella Lapata

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  • Leveraging Wikipedia Characteristics for Search and Candidate Generation in Question Answering

    Jennifer Chu-Carroll, James Fan

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  • Enhancing Semantic Role Labeling for Tweets Using Self-Training

    Xiaohua Liu, Li Kuan, Ming Zhou, Zhongyang Xiong

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  • Scaling Up Reinforcement Learning through Targeted Exploration

    Timothy Mann, Yoonsuck Choe

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  • Non-Parametric Approximate Linear Programming for MDPs

    Jason Pazis, Ronald Parr

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  • Selective Transfer Between Learning Tasks Using Task-Based Boosting

    Eric Eaton, Marie desJardins

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  • Multi-Level Cluster Indicator Decompositions of Matrices and Tensors

    Dijun Luo, Chris Ding, Heng Huang

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  • Optimal Rewards versus Leaf-Evaluation Heuristics in Planning Agents

    Jonathan Sorg, Satinder Singh, Richard Lewis

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  • Across-Model Collective Ensemble Classification

    Hoda Eldardiry, Jennifer Neville

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  • Ordinal Regression via Manifold Learning

    Yang Liu, Yan Liu, Keith Chan

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  • Differential Eligibility Vectors for Advantage Updating and Gradient Methods

    Francisco Melo

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  • Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions

    Xinhua Zhang, Yaoliang Yu, Martha White, Ruitong Huang, Dale Schuurmans

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  • Mean Field Inference in Dependency Networks: An Empirical Study

    Daniel Lowd, Arash Shamaei

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  • Comparing Agents’ Success against People in Security Domains

    Raz Lin, Sarit Kraus, Noa Agmon, Samuel Barrett, Peter Stone

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  • The Influence of Emotion Expression on Perceptions of Trustworthiness in Negotiation

    Dimitrios Antos, Celso de Melo, Jonathan Gratch, Barbara Grosz

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  • The Epistemic Logic Behind the Game Description Language

    Ji Ruan, Michael Thielscher

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  • Bayesian Learning of Generalized Board Positions for Improved Move Prediction in Computer Go

    Martin Michalowski, Mark Boddy, Mike Neilsen

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  • Grammatical Error Detection for Corrective Feedback Provision in Oral Conversations

    Sungjin Lee, Hyungjong Noh, Kyusong Lee, Gary Geunbae Lee

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  • Social Relations Model for Collaborative Filtering

    Wu-Jun Li, Dit-Yan Yeung

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  • Finding Answers and Generating Explanations for Complex Biomedical Queries

    Esra Erdem, Yelda Erdem, Halit Erdogan, Umut Oztok

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  • Reasoning About General Games Described in GDL-II

    Stephan Schiffel, Michael Thielscher

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  • Human Spatial Relational Reasoning: Processing Demands, Representations, and Cognitive Model

    Marco Ragni, Sven Brüssow

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  • Co-Training as a Human Collaboration Policy

    Xiaojin Zhu, Bryan Gibson, Timothy Rogers

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  • Multi-Task Learning in Heterogeneous Feature Spaces

    Yu Zhang, Dit-Yan Yeung

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  • OASIS: Online Active Semi-Supervised Learning

    Andrew Goldberg, Xiaojin Zhu, Alex Furger, Jun-Ming Xu

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  • A Fast Spectral Relaxation Approach to Matrix Completion via Kronecker Products

    Hui Zhao, Jiuqiang Han, Naiyan Wang, Congfu Xu, Zhihua Zhang

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  • Unsupervised Learning of Human Behaviours

    Sook-Ling Chua, Stephen Marsland, Hans Guesgen

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  • Localized K-Flats

    Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou

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  • Item-Level Social Influence Prediction with Probabilistic Hybrid Factor Matrix Factorization

    Peng Cui, Fei Wang, Shiqiang Yang, Lifeng Sun

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  • Basis Function Discovery Using Spectral Clustering and Bisimulation Metrics

    Gheorghe Comanici, Doina Precup

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  • Learning a Kernel for Multi-Task Clustering

    Quanquan Gu, Zhenhui Li, Jiawei Han

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  • Learning Structured Embeddings of Knowledge Bases

    Antoine Bordes, Jason Weston, Ronan Collobert, Yoshua Bengio

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  • Transfer Latent Semantic Learning: Microblog Mining with Less Supervision

    Dan Zhang, Yan Liu, Richard Lawrence, Vijil Chenthamarakshan

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  • Sparse Matrix-Variate t Process Blockmodels

    Zenglin Xu, Feng Yan, Yuan Qi

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  • Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection

    Yu-Feng Li, Zhi-Hua Zhou

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  • A Feasible Nonconvex Relaxation Approach to Feature Selection

    Cuixia Gao, Naiyan Wang, Qi Yu, Zhihua Zhang

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  • Nonnegative Spectral Clustering with Discriminative Regularization

    Yi Yang, Heng Shen, Feiping Nie, Rongrong Ji, Xiaofang Zhou

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  • Sparse Group Restricted Boltzmann Machines

    Heng Luo, Ruimin Shen, Changyong Niu, Carsten Ullrich

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  • An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems

    Byron Boots, Geoffrey Gordon

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  • Towards Evolutionary Nonnegative Matrix Factorization

    Fei Wang, Hanghang Tong, Ching-Yung Lin

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  • Heterogeneous Transfer Learning with RBMs

    Bin Wei, Christopher Pal

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  • Automatic Group Sparse Coding

    Fei Wang, Noah Lee, Jimeng Sun, Jianying Hu, Shahram Ebadollahi

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  • Linear Discriminant Analysis: New Formulations and Overfit Analysis

    Dijun Luo, Chris Ding, Heng Huang

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  • On Expressing Value Externalities in Position Auctions

    Florin Constantin, Malvika Rao, Chien-Chung Huang, David Parkes

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  • Incentive-Compatible Escrow Mechanisms

    Jens Witkowski, Sven Seuken, David Parkes

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  • Efficient Subspace Segmentation via Quadratic Programming

    Shusen Wang, Xiaotong Yuan, Tiansheng Yao, Shuicheng Yan, Jialie Shen

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  • A Nonparametric Bayesian Model of Multi-Level Category Learning

    Kevin Canini, Thomas Griffiths

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  • Learning Instance Specific Distance for Multi-Instance Classification

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