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    AAAI
    1994
    160views Intelligent Agents» more  AAAI 1994»
    Improving Learning Performance Through Rational Resource Allocation
    13 years 8 months ago
    Improving Learning Performance Through Rational Resource Allocation
    Download  www.aaai.org
    This article shows how rational analysis can be used to minimize learning cost for a general class of statistical learning problems. We discuss the factors that influence learning...
    Jonathan Gratch, Steve A. Chien, Gerald DeJong
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    JMLR
    2010
    118views more  JMLR 2010»
    On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
    13 years 2 months ago
    On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
    Download  jmlr.csail.mit.edu
    Model selection strategies for machine learning algorithms typically involve the numerical optimisation of an appropriate model selection criterion, often based on an estimator of...
    Gavin C. Cawley, Nicola L. C. Talbot
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    SCIA
    2005
    Springer
    211views Image Analysis» more  SCIA 2005»
    Perception-Action Based Object Detection from Local Descriptor Combination and Reinforcement Learning
    14 years 27 days ago
    Perception-Action Based Object Detection from Local Descriptor Combination and Reinforcement Learning
    Download  www.mobvis.org
    This work proposes to learn visual encodings of attention patterns that enables sequential attention for object detection in real world environments. The system embeds a saccadic d...
    Lucas Paletta, Gerald Fritz, Christin Seifert
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    ICMLA
    2009
    185views Machine Learning» more  ICMLA 2009»
    Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
    13 years 5 months ago
    Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
    Download  staff.science.uva.nl
    Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
    Mark Kroon, Shimon Whiteson
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    ICML
    2009
    IEEE
    160views Machine Learning» more  ICML 2009»
    The adaptive k-meteorologists problem and its application to structure learning and feature selection in reinforcement learning
    14 years 8 months ago
    The adaptive k-meteorologists problem and its application to structure learning and feature selection in reinforcement learning
    Download  www.research.rutgers.edu
    The purpose of this paper is three-fold. First, we formalize and study a problem of learning probabilistic concepts in the recently proposed KWIK framework. We give details of an ...
    Carlos Diuk, Lihong Li, Bethany R. Leffler
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