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    NIPS
    2000
    117views Information Technology» more  NIPS 2000»
    An Information Maximization Approach to Overcomplete and Recurrent Representations
    14 years 11 months ago
    An Information Maximization Approach to Overcomplete and Recurrent Representations
    Download  neurophysics.huji.ac.il
    The principle of maximizing mutual information is applied to learning overcomplete and recurrent representations. The underlying model consists of a network of input units driving...
    Oren Shriki, Haim Sompolinsky, Daniel D. Lee
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    IJCAI
    1997
    152views Artificial Intelligence» more  IJCAI 1997»
    Anytime Belief Revision
    14 years 11 months ago
    Anytime Belief Revision
    Download  dli.iiit.ac.in
    Belief Revision is a ubiquitous process underlying many forms of intelligent behaviour. The AGM paradigm is a powerful framework for modeling and implementing belief revision syst...
    Mary-Anne Williams
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    NIPS
    1997
    150views Information Technology» more  NIPS 1997»
    Active Data Clustering
    14 years 11 months ago
    Active Data Clustering
    Download  www.cs.brown.edu
    Active data clustering is a novel technique for clustering of proximity data which utilizes principles from sequential experiment design in order to interleave data generation and...
    Thomas Hofmann, Joachim M. Buhmann
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    ICGA
    1993
    145views Optimization» more  ICGA 1993»
    Genetic Programming of Minimal Neural Nets Using Occam's Razor
    14 years 11 months ago
    Genetic Programming of Minimal Neural Nets Using Occam's Razor
    Download  bi.snu.ac.kr
    A genetic programming method is investigated for optimizing both the architecture and the connection weights of multilayer feedforward neural networks. The genotype of each networ...
    Byoung-Tak Zhang, Heinz Mühlenbein
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    IJCAI
    1993
    229views Artificial Intelligence» more  IJCAI 1993»
    Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning
    14 years 11 months ago
    Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning
    Download  dli.iiit.ac.in
    Since most real-world applications of classification learning involve continuous-valued attributes, properly addressing the discretization process is an important problem. This pa...
    Usama M. Fayyad, Keki B. Irani
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