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    NIPS
    1996
    100views Information Technology» more  NIPS 1996»
    Salient Contour Extraction by Temporal Binding in a Cortically-based Network
    13 years 7 months ago
    Salient Contour Extraction by Temporal Binding in a Cortically-based Network
    Download  www.ece.nus.edu.sg
    It has been suggested that long-range intrinsic connections in striate cortex may play a role in contour extraction (Gilbert et al., 1996). A number of recent physiological and ps...
    Shih-Cheng Yen, Leif H. Finkel
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    NIPS
    1996
    133views Information Technology» more  NIPS 1996»
    Continuous Sigmoidal Belief Networks Trained using Slice Sampling
    13 years 7 months ago
    Continuous Sigmoidal Belief Networks Trained using Slice Sampling
    Download  www.psi.toronto.edu
    Real-valued random hidden variables can be useful for modelling latent structure that explains correlations among observed variables. I propose a simple unit that adds zero-mean G...
    Brendan J. Frey
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    NIPS
    1996
    202views Information Technology» more  NIPS 1996»
    Improving the Accuracy and Speed of Support Vector Machines
    13 years 7 months ago
    Improving the Accuracy and Speed of Support Vector Machines
    Download  www.columbia.edu
    Support Vector Learning Machines (SVM) are nding application in pattern recognition, regression estimation, and operator inversion for ill-posed problems. Against this very genera...
    Christopher J. C. Burges, Bernhard Schölkopf
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    NIPS
    1996
    98views Information Technology» more  NIPS 1996»
    Second-order Learning Algorithm with Squared Penalty Term
    13 years 7 months ago
    Second-order Learning Algorithm with Squared Penalty Term
    Download  www.kecl.ntt.co.jp
    This paper compares three penalty terms with respect to the efficiency of supervised learning, by using first- and second-order learning algorithms. Our experiments showed that fo...
    Kazumi Saito, Ryohei Nakano
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    NIPS
    1996
    148views Information Technology» more  NIPS 1996»
    Combining Neural Networks and Context-Driven Search for On-Line, Printed Handwriting Recognition in the Newton
    13 years 7 months ago
    Combining Neural Networks and Context-Driven Search for On-Line, Printed Handwriting Recognition in the Newton
    Download  www.beanblossom.in.us
    While on-line handwriting recognition is an area of long-standing and ongoing research, the recent emergence of portable, pen-based computers has focused urgent attention on usabl...
    Larry S. Yaeger, Brandyn J. Webb, Richard F. Lyon
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