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    ICML
    1996
    IEEE
    153views Machine Learning» more  ICML 1996»
    Toward Optimal Feature Selection
    14 years 5 months ago
    Toward Optimal Feature Selection
    Download  ilpubs.stanford.edu
    In this paper, we examine a method for feature subset selection based on Information Theory. Initially, a framework for de ning the theoretically optimal, but computationally intr...
    Daphne Koller, Mehran Sahami
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    ICML
    1996
    IEEE
    119views Machine Learning» more  ICML 1996»
    Passive Distance Learning for Robot Navigation
    14 years 5 months ago
    Passive Distance Learning for Robot Navigation
    Download  idm-lab.org
    Autonomous mobile robots need good models of their environment, sensors and actuators to navigate reliably and efficiently. While this information can be supplied by humans, or le...
    Sven Koenig, Reid G. Simmons
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    ICML
    1996
    IEEE
    149views Machine Learning» more  ICML 1996»
    Applying Winnow to Context-Sensitive Spelling Correction
    14 years 5 months ago
    Applying Winnow to Context-Sensitive Spelling Correction
    Download  l2r.cs.uiuc.edu
    Andrew R. Golding, Dan Roth
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    ICML
    1996
    IEEE
    126views Machine Learning» more  ICML 1996»
    On-Line Adaptation of a Signal Predistorter through Dual Reinforcement Learning
    14 years 5 months ago
    On-Line Adaptation of a Signal Predistorter through Dual Reinforcement Learning
    Download  www.cs.utexas.edu
    Patrick Goetz, Shailesh Kumar, Risto Miikkulainen
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    ICML
    1996
    IEEE
    153views Machine Learning» more  ICML 1996»
    Learning Relational Concepts with Decision Trees
    14 years 5 months ago
    Learning Relational Concepts with Decision Trees
    Download  www.peter-geibel.de
    In this paper, we describe two di erent learning tasks for relational structures. When learning a classi er for structures, the relational structures in the training sets are clas...
    Peter Geibel, Fritz Wysotzki
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    ICML
    1996
    IEEE
    159views Machine Learning» more  ICML 1996»
    Discretizing Continuous Attributes While Learning Bayesian Networks
    14 years 5 months ago
    Discretizing Continuous Attributes While Learning Bayesian Networks
    Download  www.cs.huji.ac.il
    We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
    Moisés Goldszmidt, Nir Friedman
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    ICML
    1996
    IEEE
    151views Machine Learning» more  ICML 1996»
    Experiments with a New Boosting Algorithm
    14 years 5 months ago
    Experiments with a New Boosting Algorithm
    Download  cseweb.ucsd.edu
    Yoav Freund, Robert E. Schapire
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    ICML
    1996
    IEEE
    151views Machine Learning» more  ICML 1996»
    Learning Goal Oriented Bayesian Networks for Telecommunications Risk Management
    14 years 5 months ago
    Learning Goal Oriented Bayesian Networks for Telecommunications Risk Management
    Download  sci2s.ugr.es
    This paper discusses issues related to Bayesian network model learning for unbalanced binary classification tasks. In general, the primary focus of current research on Bayesian ne...
    Kazuo J. Ezawa, Moninder Singh, Steven W. Norton
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    ICML
    1996
    IEEE
    162views Machine Learning» more  ICML 1996»
    Learning Evaluation Functions for Large Acyclic Domains
    14 years 5 months ago
    Learning Evaluation Functions for Large Acyclic Domains
    Download  www.ri.cmu.edu
    Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
    Justin A. Boyan, Andrew W. Moore
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    ICML
    1996
    IEEE
    121views Machine Learning» more  ICML 1996»
    Residual Q-Learning Applied to Visual Attention
    14 years 5 months ago
    Residual Q-Learning Applied to Visual Attention
    Download  www.leemon.com
    Cesar Bandera, Francisco J. Vico, José Manu...
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