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    TNN
    2008
    119views more  TNN 2008»
    Selecting Useful Groups of Features in a Connectionist Framework
    13 years 7 months ago
    Selecting Useful Groups of Features in a Connectionist Framework
    Download  delta.cs.cinvestav.mx
    Abstract--Suppose for a given classification or function approximation (FA) problem data are collected using sensors. From the output of the th sensor, features are extracted, ther...
    Debrup Chakraborty, Nikhil R. Pal
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    SARA
    2005
    Springer
    102views Artificial Intelligence» more  SARA 2005»
    Feature-Discovering Approximate Value Iteration Methods
    14 years 1 months ago
    Feature-Discovering Approximate Value Iteration Methods
    Download  cobweb.ecn.purdue.edu
    Sets of features in Markov decision processes can play a critical role ximately representing value and in abstracting the state space. Selection of features is crucial to the succe...
    Jia-Hong Wu, Robert Givan
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    POLICY
    2005
    Springer
    124views Computer Networks» more  POLICY 2005»
    Approximating Service Utility from Policies and Value Function Patterns
    14 years 1 months ago
    Approximating Service Utility from Policies and Value Function Patterns
    Download  www.aifb.kit.edu
    Service-oriented computing provides the right means for building flexible systems that allow dynamic configuration and on-the-fly composition. In order to realize this vision, ...
    Steffen Lamparter, Daniel Oberle, Andreas Eberhart
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    ICAI
    2009
    113views Artificial Intelligence» more  ICAI 2009»
    On the Construction of Initial Basis Function for Efficient Value Function Approximation
    13 years 5 months ago
    On the Construction of Initial Basis Function for Efficient Value Function Approximation
    Download  mmnet.iis.sinica.edu.tw
    - We address the issues of improving the feature generation methods for the value-function approximation and the state space approximation. We focus the improvement of feature gene...
    Chung-Cheng Chiu, Kuan-Ta Chen
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    IJCAI
    2007
    209views Artificial Intelligence» more  IJCAI 2007»
    Logistic Regression Models for a Fast CBIR Method Based on Feature Selection
    13 years 9 months ago
    Logistic Regression Models for a Fast CBIR Method Based on Feature Selection
    Download  www.ijcai.org
    Distance measures like the Euclidean distance have been the most widely used to measure similarities between feature vectors in the content-based image retrieval (CBIR) systems. H...
    Riadh Ksantini, Djemel Ziou, Bernard Colin, Fran&c...
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