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    ICPR
    2000
    IEEE
    129views computer vision» more  ICPR 2000»
    General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
    14 years 9 months ago
    General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
    Download  www.vogdrup-hansen.dk
    An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
    Jakob Vogdrup Hansen, Tom Heskes
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    COLING
    1996
    144views Computational Linguistics» more  COLING 1996»
    Interpretation of Nominal Compounds: Combining Domain-Independent and Domain-Specific Information
    13 years 10 months ago
    Interpretation of Nominal Compounds: Combining Domain-Independent and Domain-Specific Information
    Download  acl.ldc.upenn.edu
    A domain independent model is proposed for the automated interpretation of nominal compounds in English. This model is meant to account for productive rules of interpretation whic...
    Cécile Fabre
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    ALMOB
    2006
    110views more  ALMOB 2006»
    Computing distribution of scale independent motifs in biological sequences
    13 years 8 months ago
    Computing distribution of scale independent motifs in biological sequences
    Download  www.almob.org
    The use of Chaos Game Representation (CGR) or its generalization, Universal Sequence Maps (USM), to describe the distribution of biological sequences has been found objectionable ...
    Jonas S. Almeida, Susana Vinga
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    PAMI
    2007
    127views more  PAMI 2007»
    Text-Independent Writer Identification and Verification Using Textural and Allographic Features
    13 years 8 months ago
    Text-Independent Writer Identification and Verification Using Textural and Allographic Features
    Download  www.ai.rug.nl
    —The identification of a person on the basis of scanned images of handwriting is a useful biometric modality with application in forensic and historic document analysis and const...
    Marius Bulacu, Lambert Schomaker
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    TRS
    2008
    136views Artificial Intelligence» more  TRS 2008»
    The Neurophysiological Bases of Cognitive Computation Using Rough Set Theory
    13 years 8 months ago
    The Neurophysiological Bases of Cognitive Computation Using Rough Set Theory
    Download  www.umassmed.edu
    A popular view is that the brain works in a similar way to a digital computer or a Universal Turing Machine by processing symbols. Psychophysical experiments and our amazing capabi...
    Andrzej W. Przybyszewski
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