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    ML
    1998
    ACM
    131views Machine Learning» more  ML 1998»
    Learning from Examples and Membership Queries with Structured Determinations
    13 years 7 months ago
    Learning from Examples and Membership Queries with Structured Determinations
    Download  web.engr.oregonstate.edu
    It is well known that prior knowledge or bias can speed up learning, at least in theory. It has proved di cult to make constructive use of prior knowledge, so that approximately c...
    Prasad Tadepalli, Stuart J. Russell
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    ML
    1998
    ACM
    220views Machine Learning» more  ML 1998»
    Learning to Improve Coordinated Actions in Cooperative Distributed Problem-Solving Environments
    13 years 7 months ago
    Learning to Improve Coordinated Actions in Cooperative Distributed Problem-Solving Environments
    Download  mas.cs.umass.edu
    Abstract. Coordination is an essential technique in cooperative, distributed multiagent systems. However, sophisticated coordination strategies are not always cost-effective in all...
    Toshiharu Sugawara, Victor R. Lesser
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    ML
    1998
    ACM
    136views Machine Learning» more  ML 1998»
    Co-Evolution in the Successful Learning of Backgammon Strategy
    13 years 7 months ago
    Co-Evolution in the Successful Learning of Backgammon Strategy
    Download  www.demo.cs.brandeis.edu
    Following Tesauro’s work on TD-Gammon, we used a 4000 parameter feed-forward neural network to develop a competitive backgammon evaluation function. Play proceeds by a roll of t...
    Jordan B. Pollack, Alan D. Blair
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    ML
    1998
    ACM
    113views Machine Learning» more  ML 1998»
    Machine Learning for the Detection of Oil Spills in Satellite Radar Images
    13 years 7 months ago
    Machine Learning for the Detection of Oil Spills in Satellite Radar Images
    Download  reference.kfupm.edu.sa
    During a project examining the use of machine learning techniques for oil spill detection, we have encountered several essential questions that we believe deserve the attention of ...
    Miroslav Kubat, Robert C. Holte, Stan Matwin
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    ML
    1998
    ACM
    115views Machine Learning» more  ML 1998»
    Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL
    13 years 7 months ago
    Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL
    Download  reference.kfupm.edu.sa
    This paper is a case study of a machine aided knowledge discovery process within the general area of drug design. More speci cally, the paper describes a sequence of experiments in...
    Paul W. Finn, Stephen Muggleton, David Page, Ashwi...
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    ML
    1998
    ACM
    139views Machine Learning» more  ML 1998»
    The Hierarchical Hidden Markov Model: Analysis and Applications
    13 years 7 months ago
    The Hierarchical Hidden Markov Model: Analysis and Applications
    Download  www.cs.princeton.edu
    We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...
    Shai Fine, Yoram Singer, Naftali Tishby
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    ML
    1998
    ACM
    101views Machine Learning» more  ML 1998»
    Elevator Group Control Using Multiple Reinforcement Learning Agents
    13 years 7 months ago
    Elevator Group Control Using Multiple Reinforcement Learning Agents
    Download  www.clear.rice.edu
    Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
    Robert H. Crites, Andrew G. Barto
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    ML
    1998
    ACM
    119views Machine Learning» more  ML 1998»
    A Note on Learning from Multiple-Instance Examples
    13 years 7 months ago
    A Note on Learning from Multiple-Instance Examples
    Download  www.ri.cmu.edu
    Avrim Blum, Adam Kalai
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    ML
    1998
    ACM
    91views Machine Learning» more  ML 1998»
    On Restricted-Focus-of-Attention Learnability of Boolean Functions
    13 years 7 months ago
    On Restricted-Focus-of-Attention Learnability of Boolean Functions
    Download  www.mathcs.duq.edu
    In the k-Restricted-Focus-of-Attention (k-RFA) model, only k of the n attributes of each example are revealed to the learner, although the set of visible attributes in each example...
    Andreas Birkendorf, Eli Dichterman, Jeffrey C. Jac...
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    ML
    2002
    ACM
    146views Machine Learning» more  ML 2002»
    Kernel Matching Pursuit
    13 years 7 months ago
    Kernel Matching Pursuit
    Download  www.iro.umontreal.ca
    Matching Pursuit algorithms learn a function that is a weighted sum of basis functions, by sequentially appending functions to an initially empty basis, to approximate a target fu...
    Pascal Vincent, Yoshua Bengio
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