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    IJCAI
    2007
    206views Artificial Intelligence» more  IJCAI 2007»
    Computational Aspects of Analyzing Social Network Dynamics
    13 years 6 months ago
    Computational Aspects of Analyzing Social Network Dynamics
    Download  www.ijcai.org
    Motivated by applications such as the spread of epidemics and the propagation of influence in social networks, we propose a formal model for analyzing the dynamics of such networ...
    Christopher L. Barrett, Harry B. Hunt III, Madhav ...
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    IJCAI
    2007
    180views Artificial Intelligence» more  IJCAI 2007»
    Graph Decomposition for Efficient Multi-Robot Path Planning
    13 years 6 months ago
    Graph Decomposition for Efficient Multi-Robot Path Planning
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    Malcolm R. K. Ryan
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    IJCAI
    2007
    158views Artificial Intelligence» more  IJCAI 2007»
    Building Portable Options: Skill Transfer in Reinforcement Learning
    13 years 6 months ago
    Building Portable Options: Skill Transfer in Reinforcement Learning
    Download  www-anw.cs.umass.edu
    The options framework provides a method for reinforcement learning agents to build new high-level skills. However, since options are usually learned in the same state space as the...
    George Konidaris, Andrew G. Barto
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    IJCAI
    2007
    136views Artificial Intelligence» more  IJCAI 2007»
    Backtracking Procedures for Hypertree, HyperSpread and Connected Hypertree Decomposition of CSPs
    13 years 6 months ago
    Backtracking Procedures for Hypertree, HyperSpread and Connected Hypertree Decomposition of CSPs
    Download  www.itu.dk
    Hypertree decomposition has been shown to be the most general CSP decomposition method. However, so far the exact methods are not able to find optimal hypertree decompositions of...
    Sathiamoorthy Subbarayan, Henrik Reif Andersen
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    IJCAI
    2007
    204views Artificial Intelligence» more  IJCAI 2007»
    Completing Description Logic Knowledge Bases Using Formal Concept Analysis
    13 years 6 months ago
    Completing Description Logic Knowledge Bases Using Formal Concept Analysis
    Download  webont.org
    Abstract. We propose an approach for extending both the terminological and the assertional part of a Description Logic knowledge base by using information provided by the knowledge...
    Franz Baader, Bernhard Ganter, Baris Sertkaya, Ulr...
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    IJCAI
    2007
    138views Artificial Intelligence» more  IJCAI 2007»
    Extracting and Visualizing Trust Relationships from Online Auction Feedback Comments
    13 years 6 months ago
    Extracting and Visualizing Trust Relationships from Online Auction Feedback Comments
    Download  imsc-dmim.usc.edu
    Buyers and sellers in online auctions are faced with the task of deciding who to entrust their business to based on a very limited amount of information. Current trust ratings on ...
    John O'Donovan, Barry Smyth, Vesile Evrim, Dennis ...
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    IJCAI
    2007
    170views Artificial Intelligence» more  IJCAI 2007»
    General Game Learning Using Knowledge Transfer
    13 years 6 months ago
    General Game Learning Using Knowledge Transfer
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    We present a reinforcement learning game player that can interact with a General Game Playing system and transfer knowledge learned in one game to expedite learning in many other ...
    Bikramjit Banerjee, Peter Stone
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    IJCAI
    2007
    215views Artificial Intelligence» more  IJCAI 2007»
    A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints
    13 years 6 months ago
    A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints
    Download  www.ijcai.org
    The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
    Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
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    IJCAI
    2007
    179views Artificial Intelligence» more  IJCAI 2007»
    Deictic Option Schemas
    13 years 6 months ago
    Deictic Option Schemas
    Download  www.ijcai.org
    Deictic representation is a representational paradigm, based on selective attention and pointers, that allows an agent to learn and reason about rich complex environments. In this...
    Balaraman Ravindran, Andrew G. Barto, Vimal Mathew
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    IJCAI
    2007
    168views Artificial Intelligence» more  IJCAI 2007»
    Mechanism Design with Partial Revelation
    13 years 6 months ago
    Mechanism Design with Partial Revelation
    Download  www.cs.toronto.edu
    Classic direct mechanisms require full type (or utility) revelation from participating agents, something that can be very difficult in practical multi-attribute settings. In this...
    Nathanael Hyafil, Craig Boutilier
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