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    ICANN
    2009
    Springer
    127views Neural Networks» more  ICANN 2009»
    Using Kernel Basis with Relevance Vector Machine for Feature Selection
    14 years 2 months ago
    Using Kernel Basis with Relevance Vector Machine for Feature Selection
    Download  suard.frederic.free.fr
    This paper presents an application of multiple kernels like Kernel Basis to the Relevance Vector Machine algorithm. The framework of kernel machines has been a source of many works...
    Frederic Suard, David Mercier
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    EMNLP
    2008
    107views Natural Language Processing» more  EMNLP 2008»
    Discriminative Learning of Selectional Preference from Unlabeled Text
    13 years 9 months ago
    Discriminative Learning of Selectional Preference from Unlabeled Text
    Download  www.aclweb.org
    We present a discriminative method for learning selectional preferences from unlabeled text. Positive examples are taken from observed predicate-argument pairs, while negatives ar...
    Shane Bergsma, Dekang Lin, Randy Goebel
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    NIPS
    2001
    138views Information Technology» more  NIPS 2001»
    Active Learning in the Drug Discovery Process
    13 years 8 months ago
    Active Learning in the Drug Discovery Process
    Download  books.nips.cc
    We investigate the following data mining problem from Computational Chemistry: From a large data set of compounds, find those that bind to a target molecule in as few iterations o...
    Manfred K. Warmuth, Gunnar Rätsch, Michael Ma...
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    ESANN
    2000
    177views Neural Networks» more  ESANN 2000»
    Algorithmic approaches to training Support Vector Machines: a survey
    13 years 8 months ago
    Algorithmic approaches to training Support Vector Machines: a survey
    Download  www.iipl.fudan.edu.cn
    : Support Vector Machines (SVMs) have become an increasingly popular tool for machine learning tasks involving classi cation, regression or novelty detection. They exhibit good gen...
    Colin Campbell
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    ICANN
    2005
    Springer
    181views Neural Networks» more  ICANN 2005»
    Online Learning for Object Recognition with a Hierarchical Visual Cortex Model
    14 years 29 days ago
    Online Learning for Object Recognition with a Hierarchical Visual Cortex Model
    Download  www.techfak.uni-bielefeld.de
    We present an architecture for the online learning of object representations based on a visual cortex hierarchy developed earlier. We use the output of a topographical feature hier...
    Stephan Kirstein, Heiko Wersing, Edgar Körner
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