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    ESANN
    2006
    151views Neural Networks» more  ESANN 2006»
    Classification of Boar Sperm Head Images using Learning Vector Quantization
    14 years 11 months ago
    Classification of Boar Sperm Head Images using Learning Vector Quantization
    Download  www.cs.rug.nl
    We apply Learning Vector Quantization (LVQ) in automated boar semen quality assessment. The classification of single boar sperm heads into healthy (normal) and non-normal ones is b...
    Michael Biehl, Piter Pasma, Marten Pijl, Lidia S&a...
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    ACL
    2001
    106views Computational Linguistics» more  ACL 2001»
    Towards Automatic Classification of Discourse Elements in Essays
    14 years 11 months ago
    Towards Automatic Classification of Discourse Elements in Essays
    Download  www.aclweb.org
    Educators are interested in essay evaluation systems that include feedback about writing features that can facilitate the essay revision process. For instance, if the thesis state...
    Jill Burstein, Daniel Marcu, Slava Andreyev, Marti...
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    ACL
    2001
    145views Computational Linguistics» more  ACL 2001»
    Using Machine Learning to Maintain Rule-based Named-Entity Recognition and Classification Systems
    14 years 11 months ago
    Using Machine Learning to Maintain Rule-based Named-Entity Recognition and Classification Systems
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    This paper presents a method that assists in maintaining a rule-based named-entity recognition and classification system. The underlying idea is to use a separate system, construc...
    Georgios Petasis, Frantz Vichot, Francis Wolinski,...
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    NIPS
    2004
    138views Information Technology» more  NIPS 2004»
    Exponentiated Gradient Algorithms for Large-margin Structured Classification
    14 years 11 months ago
    Exponentiated Gradient Algorithms for Large-margin Structured Classification
    Download  people.csail.mit.edu
    We consider the problem of structured classification, where the task is to predict a label y from an input x, and y has meaningful internal structure. Our framework includes super...
    Peter L. Bartlett, Michael Collins, Benjamin Taska...
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    NIPS
    2004
    133views Information Technology» more  NIPS 2004»
    On Semi-Supervised Classification
    14 years 11 months ago
    On Semi-Supervised Classification
    Download  books.nips.cc
    A graph-based prior is proposed for parametric semi-supervised classification. The prior utilizes both labelled and unlabelled data; it also integrates features from multiple view...
    Balaji Krishnapuram, David Williams, Ya Xue, Alexa...
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