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    IJCAI
    2001
    163views Artificial Intelligence» more  IJCAI 2001»
    Exploiting Multiple Secondary Reinforcers in Policy Gradient Reinforcement Learning
    14 years 11 months ago
    Exploiting Multiple Secondary Reinforcers in Policy Gradient Reinforcement Learning
    Download  www.cs.colorado.edu
    Most formulations of Reinforcement Learning depend on a single reinforcement reward value to guide the search for the optimal policy solution. If observation of this reward is rar...
    Gregory Z. Grudic, Lyle H. Ungar
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    NIPS
    2000
    198views Information Technology» more  NIPS 2000»
    Learning Joint Statistical Models for Audio-Visual Fusion and Segregation
    14 years 11 months ago
    Learning Joint Statistical Models for Audio-Visual Fusion and Segregation
    Download  www.eecs.berkeley.edu
    People can understand complex auditory and visual information, often using one to disambiguate the other. Automated analysis, even at a lowlevel, faces severe challenges, includin...
    John W. Fisher III, Trevor Darrell, William T. Fre...
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    CLEIEJ
    2008
    82views more  CLEIEJ 2008»
    Postal Envelope Segmentation using Learning-Based Approach
    14 years 10 months ago
    Postal Envelope Segmentation using Learning-Based Approach
    Download  www.clei.cl
    This paper presents a learning-based approach to segment postal address blocks where the learning step uses only one pair of images (a sample image and its ideal segmented solutio...
    Horacio Andrés Legal-Ayala, Jacques Facon, ...
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    FOCM
    2008
    140views more  FOCM 2008»
    Online Gradient Descent Learning Algorithms
    14 years 10 months ago
    Online Gradient Descent Learning Algorithms
    Download  www.cs.ucl.ac.uk
    This paper considers the least-square online gradient descent algorithm in a reproducing kernel Hilbert space (RKHS) without explicit regularization. We present a novel capacity i...
    Yiming Ying, Massimiliano Pontil
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    ISCI
    2008
    95views more  ISCI 2008»
    Modified constrained learning algorithms incorporating additional functional constraints into neural networks
    14 years 9 months ago
    Modified constrained learning algorithms incorporating additional functional constraints into neural networks
    Download  www.intelengine.cn
    In this paper, two modified constrained learning algorithms are proposed to obtain better generalization performance and faster convergence rate. The additional cost terms of the ...
    Fei Han, Qing-Hua Ling, De-Shuang Huang
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