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    ICML
    2000
    IEEE
    204views Machine Learning» more  ICML 2000»
    Hierarchical Unsupervised Learning
    15 years 7 days ago
    Hierarchical Unsupervised Learning
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    We consider the problem of unsupervised classification of temporal sequences of facial expressions in video. This problem arises in the design of an adaptive visual agent, which m...
    Shivakumar Vaithyanathan, Byron Dom
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    ICML
    2000
    IEEE
    112views Machine Learning» more  ICML 2000»
    Probabilistic DFA Inference using Kullback-Leibler Divergence and Minimality
    15 years 7 days ago
    Probabilistic DFA Inference using Kullback-Leibler Divergence and Minimality
    Download  www.info.ucl.ac.be
    Franck Thollard, Pierre Dupont, Colin de la Higuer...
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    ICML
    2000
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    124views Machine Learning» more  ICML 2000»
    Learning to Predict Performance from Formula Modeling and Training Data
    15 years 7 days ago
    Learning to Predict Performance from Formula Modeling and Training Data
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    Bryan Singer, Manuela M. Veloso
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    ICML
    2000
    IEEE
    111views Machine Learning» more  ICML 2000»
    TPOT-RL Applied to Network Routing
    15 years 7 days ago
    TPOT-RL Applied to Network Routing
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    Peter Stone
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    ICML
    2000
    IEEE
    122views Machine Learning» more  ICML 2000»
    Incremental Learning in SwiftFile
    15 years 7 days ago
    Incremental Learning in SwiftFile
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    SwiftFile is an intelligent assistant that helps users organize their e-mail into folders. SwiftFile uses a text classifier to predict where each new message is likely to be filed...
    Richard Segal, Jeffrey O. Kephart
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    ICML
    2000
    IEEE
    106views Machine Learning» more  ICML 2000»
    Multi-agent Q-learning and Regression Trees for Automated Pricing Decisions
    15 years 7 days ago
    Multi-agent Q-learning and Regression Trees for Automated Pricing Decisions
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    Manu Sridharan, Gerald Tesauro
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    ICML
    2000
    IEEE
    146views Machine Learning» more  ICML 2000»
    Less is More: Active Learning with Support Vector Machines
    15 years 7 days ago
    Less is More: Active Learning with Support Vector Machines
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    We describe a simple active learning heuristic which greatly enhances the generalization behavior of support vector machines (SVMs) on several practical document classification ta...
    Greg Schohn, David Cohn
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    ICML
    2000
    IEEE
    140views Machine Learning» more  ICML 2000»
    Practical Reinforcement Learning in Continuous Spaces
    15 years 7 days ago
    Practical Reinforcement Learning in Continuous Spaces
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    William D. Smart, Leslie Pack Kaelbling
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    ICML
    2000
    IEEE
    132views Machine Learning» more  ICML 2000»
    Discovering Test Set Regularities in Relational Domains
    15 years 7 days ago
    Discovering Test Set Regularities in Relational Domains
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    Machine learning typically involves discovering regularities in a training set, then applying these learned regularities to classify objects in a test set. In this paper we presen...
    Seán Slattery, Tom M. Mitchell
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    ICML
    2000
    IEEE
    112views Machine Learning» more  ICML 2000»
    Achieving Efficient and Cognitively Plausible Learning in Backgammon
    15 years 7 days ago
    Achieving Efficient and Cognitively Plausible Learning in Backgammon
    Download  users.rsise.anu.edu.au
    Scott Sanner, John R. Anderson, Christian Lebiere,...
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