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    NIPS
    1992
    129views Information Technology» more  NIPS 1992»
    On the Use of Evidence in Neural Networks
    14 years 1 months ago
    On the Use of Evidence in Neural Networks
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    David Wolpert
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    NIPS
    1992
    133views Information Technology» more  NIPS 1992»
    Network Structuring and Training Using Rule-Based Knowledge
    14 years 1 months ago
    Network Structuring and Training Using Rule-Based Knowledge
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    We demonstrate in this paper how certain forms of rule-based knowledge can be used to prestructure a neural network of normalized basis functions and give a probabilistic interpre...
    Volker Tresp, Jürgen Hollatz, Subutai Ahmad
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    NIPS
    1992
    153views Information Technology» more  NIPS 1992»
    Hidden Markov Model} Induction by Bayesian Model Merging
    14 years 1 months ago
    Hidden Markov Model} Induction by Bayesian Model Merging
    Download  www.ark.cs.cmu.edu
    This paper describes a technique for learning both the number of states and the topologyof Hidden Markov Models from examples. The inductionprocess starts with the most specific m...
    Andreas Stolcke, Stephen M. Omohundro
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    NIPS
    1992
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    Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain
    14 years 1 months ago
    Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain
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    Nicol N. Schraudolph, Terrence J. Sejnowski
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    NIPS
    1992
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    A Note on Learning Vector Quantization
    14 years 1 months ago
    A Note on Learning Vector Quantization
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    Vector Quantization is useful for data compression. Competitive Learning which minimizes reconstruction error is an appropriate algorithm for vector quantization of unlabelled dat...
    Virginia R. de Sa, Dana H. Ballard
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    NIPS
    1992
    157views Information Technology» more  NIPS 1992»
    Filter Selection Model for Generating Visual Motion Signals
    14 years 1 months ago
    Filter Selection Model for Generating Visual Motion Signals
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    Neurons in area MT of primate visual cortex encode the velocity of moving objects. We present a model of how MT cells aggregate responses from V1 to form such a velocity represent...
    Steven J. Nowlan, Terrence J. Sejnowski
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    NIPS
    1992
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    Explanation-Based Neural Network Learning for Robot Control
    14 years 1 months ago
    Explanation-Based Neural Network Learning for Robot Control
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    How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
    Tom M. Mitchell, Sebastian Thrun
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    NIPS
    1992
    84views Information Technology» more  NIPS 1992»
    Using Aperiodic Reinforcement for Directed Self-Organization During Development
    14 years 1 months ago
    Using Aperiodic Reinforcement for Directed Self-Organization During Development
    Download  www.hnl.bcm.tmc.edu
    We present a local learning rule in which Hebbian learning is conditional on an incorrect prediction of a reinforcement signal. We propose a biological interpretation of such a fr...
    P. Read Montague, Peter Dayan, Steven J. Nowlan, T...
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    NIPS
    1992
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    Silicon Auditory Processors as Computer Peripherals
    14 years 1 months ago
    Silicon Auditory Processors as Computer Peripherals
    Download  www.cs.berkeley.edu
    Several research groups are implementing analog integrated circuit models of biological auditory processing. The outputs of these circuit models have taken several forms, includin...
    John Lazzaro, John Wawrzynek, Misha Mahowald, Mass...
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    NIPS
    1992
    136views Information Technology» more  NIPS 1992»
    Non-Linear Dimensionality Reduction
    14 years 1 months ago
    Non-Linear Dimensionality Reduction
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    A method for creating a non
    David DeMers, Garrison W. Cottrell
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