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    IJCAI
    2007
    166views Artificial Intelligence» more  IJCAI 2007»
    Learning to Count by Think Aloud Imitation
    14 years 18 days ago
    Learning to Count by Think Aloud Imitation
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    Although necessary, learning to discover new solutions is often long and difficult, even for supposedly simple tasks such as counting. On the other hand, learning by imitation pr...
    Laurent Orseau
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    IJCAI
    2007
    142views Artificial Intelligence» more  IJCAI 2007»
    Relevance Estimation and Value Calibration of Evolutionary Algorithm Parameters
    14 years 18 days ago
    Relevance Estimation and Value Calibration of Evolutionary Algorithm Parameters
    Download  www.cs.vu.nl
    — Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. ...
    Volker Nannen, A. E. Eiben
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    IJCAI
    2007
    227views Artificial Intelligence» more  IJCAI 2007»
    A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning
    14 years 18 days ago
    A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning
    Download  www.cs.ust.hk
    In recent years, metric learning in the semisupervised setting has aroused a lot of research interests. One type of semi-supervised metric learning utilizes supervisory informatio...
    Dit-Yan Yeung, Hong Chang, Guang Dai
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    IJCAI
    2007
    187views Artificial Intelligence» more  IJCAI 2007»
    Compiling Bayesian Networks Using Variable Elimination
    14 years 18 days ago
    Compiling Bayesian Networks Using Variable Elimination
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    Compiling Bayesian networks has proven an effective approach for inference that can utilize both global and local network structure. In this paper, we define a new method of comp...
    Mark Chavira, Adnan Darwiche
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    IJCAI
    2007
    142views Artificial Intelligence» more  IJCAI 2007»
    Hierarchical Heuristic Forward Search in Stochastic Domains
    14 years 18 days ago
    Hierarchical Heuristic Forward Search in Stochastic Domains
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    Nicolas Meuleau, Ronen I. Brafman
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    IJCAI
    2007
    149views Artificial Intelligence» more  IJCAI 2007»
    Adaptation of Organizational Models for Multi-Agent Systems Based on Max Flow Networks
    14 years 18 days ago
    Adaptation of Organizational Models for Multi-Agent Systems Based on Max Flow Networks
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    Mark Hoogendoorn
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    IJCAI
    2007
    196views Artificial Intelligence» more  IJCAI 2007»
    Concept Sampling: Towards Systematic Selection in Large-Scale Mixed Concepts in Machine Learning
    14 years 18 days ago
    Concept Sampling: Towards Systematic Selection in Large-Scale Mixed Concepts in Machine Learning
    Download  www.cs.cmu.edu
    This paper addresses the problem of concept sampling. In many real-world applications, a large collection of mixed concepts is available for decision making. However, the collecti...
    Yi Zhang 0010, Xiaoming Jin
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    IJCAI
    2007
    194views Artificial Intelligence» more  IJCAI 2007»
    Market Based Resource Allocation with Incomplete Information
    14 years 18 days ago
    Market Based Resource Allocation with Incomplete Information
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    Although there are some research efforts toward resource allocation in multi-agent systems (MAS), most of these work assume that each agent has complete information about other ag...
    Bo An, Chunyan Miao, Zhiqi Shen
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    IJCAI
    2007
    212views Artificial Intelligence» more  IJCAI 2007»
    Hybrid Elections Broaden Complexity-Theoretic Resistance to Control
    14 years 18 days ago
    Hybrid Elections Broaden Complexity-Theoretic Resistance to Control
    Download  staff.science.uva.nl
    Electoral control refers to attempts by an election’s organizer (“the chair”) to influence the outcome by adding/deleting/partitioning voters or candidates. The groundbreak...
    Edith Hemaspaandra, Lane A. Hemaspaandra, Jör...
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    IJCAI
    2007
    223views Artificial Intelligence» more  IJCAI 2007»
    Relational Knowledge with Predictive State Representations
    14 years 18 days ago
    Relational Knowledge with Predictive State Representations
    Download  web.mit.edu
    Most work on Predictive Representations of State (PSRs) has focused on learning and planning in unstructured domains (for example, those represented by flat POMDPs). This paper e...
    David Wingate, Vishal Soni, Britton Wolfe, Satinde...
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