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    NIPS
    1998
    151views Information Technology» more  NIPS 1998»
    Probabilistic Image Sensor Fusion
    13 years 6 months ago
    Probabilistic Image Sensor Fusion
    Download  www.bme.ogi.edu
    We present a probabilistic method for fusion of images produced by multiple sensors. The approach is based on an image formation model in which the sensor images are noisy, locall...
    Ravi K. Sharma, Todd K. Leen, Misha Pavel
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    NIPS
    1998
    111views Information Technology» more  NIPS 1998»
    Shrinking the Tube: A New Support Vector Regression Algorithm
    13 years 6 months ago
    Shrinking the Tube: A New Support Vector Regression Algorithm
    Download  users.cecs.anu.edu.au
    A new algorithm for Support Vector regression is described. For a priori chosen , it automatically adjusts a flexible tube of minimal radius to the data such that at most a fracti...
    Bernhard Schölkopf, Peter L. Bartlett, Alex J...
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    NIPS
    1998
    102views Information Technology» more  NIPS 1998»
    Reinforcement Learning Based on On-Line EM Algorithm
    13 years 6 months ago
    Reinforcement Learning Based on On-Line EM Algorithm
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    Masa-aki Sato, Shin Ishii
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    NIPS
    1998
    73views Information Technology» more  NIPS 1998»
    Multi-Electrode Spike Sorting by Clustering Transfer Functions
    13 years 6 months ago
    Multi-Electrode Spike Sorting by Clustering Transfer Functions
    Download  www.cs.huji.ac.il
    A new paradigm is proposed for sorting spikes in multi-electrode data using ratios of transfer functions between cells and electrodes. It is assumed that for every cell and electr...
    Dmitry Rinberg, Hanan Davidowitz, Naftali Tishby
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    NIPS
    1998
    108views Information Technology» more  NIPS 1998»
    Using Analytic QP and Sparseness to Speed Training of Support Vector Machines
    13 years 6 months ago
    Using Analytic QP and Sparseness to Speed Training of Support Vector Machines
    Download  research.microsoft.com
    Training a Support Vector Machine (SVM) requires the solution of a very large quadratic programming (QP) problem. This paper proposes an algorithm for training SVMs: Sequential Mi...
    John C. Platt
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    NIPS
    1998
    133views Information Technology» more  NIPS 1998»
    Support Vector Machines Applied to Face Recognition
    13 years 6 months ago
    Support Vector Machines Applied to Face Recognition
    Download  reference.kfupm.edu.sa
    P. Jonathon Phillips
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    NIPS
    1998
    79views Information Technology» more  NIPS 1998»
    Replicator Equations, Maximal Cliques, and Graph Isomorphism
    13 years 6 months ago
    Replicator Equations, Maximal Cliques, and Graph Isomorphism
    Download  www.dsi.unive.it
    Marcello Pelillo
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    NIPS
    1998
    137views Information Technology» more  NIPS 1998»
    Risk Sensitive Reinforcement Learning
    13 years 6 months ago
    Risk Sensitive Reinforcement Learning
    Download  www.cs.cmu.edu
    In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
    Ralph Neuneier, Oliver Mihatsch
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    NIPS
    1998
    227views Information Technology» more  NIPS 1998»
    Controlling the Complexity of HMM Systems by Regularization
    13 years 6 months ago
    Controlling the Complexity of HMM Systems by Regularization
    Download  www.mmk.e-technik.tu-muenchen.de
    This paper introduces a method for regularization of HMM systems that avoids parameter overfitting caused by insufficient training data. Regularization is done by augmenting the E...
    Christoph Neukirchen, Gerhard Rigoll
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    NIPS
    1998
    88views Information Technology» more  NIPS 1998»
    Scheduling Straight-Line Code Using Reinforcement Learning and Rollouts
    13 years 6 months ago
    Scheduling Straight-Line Code Using Reinforcement Learning and Rollouts
    Download  www.cs.ou.edu
    The execution order of a block of computer instructions can make a difference in its running time by a factor of two or more. In order to achieve the best possible speed, compiler...
    Amy McGovern, J. Eliot B. Moss
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