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    IJCNN
    2006
    IEEE
    109views Neural Networks» more  IJCNN 2006»
    On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning
    14 years 2 months ago
    On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning
    Download  www.ieor.berkeley.edu
    — We present a simple, intuitive argument based on “invariant imbedding” in the spirit of dynamic programming to derive a stagewise second-order backpropagation (BP) algorith...
    Eiji Mizutani, Stuart Dreyfus
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    EDBT
    2006
    ACM
    129views Database» more  EDBT 2006»
    Efficient Quantile Retrieval on Multi-dimensional Data
    14 years 8 months ago
    Efficient Quantile Retrieval on Multi-dimensional Data
    Download  www.cse.cuhk.edu.hk
    Given a set of N multi-dimensional points, we study the computation of -quantiles according to a ranking function F, which is provided by the user at runtime. Specifically, F compu...
    Man Lung Yiu, Nikos Mamoulis, Yufei Tao
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    WWW
    2009
    ACM
    189views Internet Technology» more  WWW 2009»
    Advertising keyword generation using active learning
    14 years 8 months ago
    Advertising keyword generation using active learning
    Download  www2009.eprints.org
    This paper proposes an efficient relevance feedback based interactive model for keyword generation in sponsored search advertising. We formulate the ranking of relevant terms as a...
    Hao Wu, Guang Qiu, Xiaofei He, Yuan Shi, Mingcheng...
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    WILF
    2005
    Springer
    194views Fuzzy Logic» more  WILF 2005»
    Learning Bayesian Classifiers from Gene-Expression MicroArray Data
    14 years 1 months ago
    Learning Bayesian Classifiers from Gene-Expression MicroArray Data
    Download  www.mi.ieiit.cnr.it
    Computing methods that allow the efficient and accurate processing of experimentally gathered data play a crucial role in biological research. The aim of this paper is to present a...
    Andrea Bosin, Nicoletta Dessì, Diego Libera...
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    FLAIRS
    2003
    195views Artificial Intelligence» more  FLAIRS 2003»
    Learning Opening Strategy in the Game of Go
    13 years 9 months ago
    Learning Opening Strategy in the Game of Go
    Download  vision.middlebury.edu
    In this paper, we present an experimental methodology and results for a machine learning approach to learning opening strategy in the game of Go, a game for which the best compute...
    Timothy Huang, Graeme Connell, Bryan McQuade
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