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    EMNLP
    2004
    112views Natural Language Processing» more  EMNLP 2004»
    A Boosting Algorithm for Classification of Semi-Structured Text
    13 years 9 months ago
    A Boosting Algorithm for Classification of Semi-Structured Text
    Download  chasen.org
    The focus of research in text classification has expanded from simple topic identification to more challenging tasks such as opinion/modality identification. Unfortunately, the la...
    Taku Kudo, Yuji Matsumoto
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    ERSA
    2004
    130views Hardware» more  ERSA 2004»
    Computing Lennard-Jones Potentials and Forces with Reconfigurable Hardware
    13 years 9 months ago
    Computing Lennard-Jones Potentials and Forces with Reconfigurable Hardware
    Download  halcyon.usc.edu
    Abstract-- Technological advances have made FPGAs an attractive platform for the acceleration of complex scientific applications. These applications demand high performance and hig...
    Ronald Scrofano, Viktor K. Prasanna
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    IFIP12
    2004
    90views Information Technology» more  IFIP12 2004»
    Impact on Performance of Hypertext Classification of Selective Rich HTML Capture
    13 years 9 months ago
    Impact on Performance of Hypertext Classification of Selective Rich HTML Capture
    Download  www.maxbramer.org.uk
    : Hypertext categorization is the automatic classification of web documents into predefined classes. It poses new challenges for automatic categorization because of the rich inform...
    Houda Benbrahim, Max Bramer
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    NETWORKING
    2004
    124views Computer Networks» more  NETWORKING 2004»
    A Case for Mesh-Tree-Interaction in End System Multicasting
    13 years 9 months ago
    A Case for Mesh-Tree-Interaction in End System Multicasting
    Download  vulcan.ee.iastate.edu
    Abstract. End System Multicasting (ESM) is fast becoming a feasible alternative to IP multicasting. ESM approaches can be broadly classified into two main categories: (i) Tree firs...
    Anirban Chakrabarti, Govindarasu Manimaran
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    NIPS
    2004
    162views Information Technology» more  NIPS 2004»
    An Application of Boosting to Graph Classification
    13 years 9 months ago
    An Application of Boosting to Graph Classification
    Download  books.nips.cc
    This paper presents an application of Boosting for classifying labeled graphs, general structures for modeling a number of real-world data, such as chemical compounds, natural lan...
    Taku Kudo, Eisaku Maeda, Yuji Matsumoto
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