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    CICLING
    2006
    Springer
    141views Natural Language Processing» more  CICLING 2006»
    Verb Sense Disambiguation Using Support Vector Machines: Impact of WordNet-Extracted Features
    14 years 25 days ago
    Verb Sense Disambiguation Using Support Vector Machines: Impact of WordNet-Extracted Features
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    The disambiguation of verbs is usually considered to be more difficult with respect to other part-of-speech categories. This is due both to the high polysemy of verbs compared with...
    Davide Buscaldi, Paolo Rosso, Ferran Pla, Encarna ...
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    EVOW
    2006
    Springer
    136views Artificial Intelligence» more  EVOW 2006»
    Human Papillomavirus Risk Type Classification from Protein Sequences Using Support Vector Machines
    14 years 23 days ago
    Human Papillomavirus Risk Type Classification from Protein Sequences Using Support Vector Machines
    Download  bi.snu.ac.kr
    Infection by the human papillomavirus (HPV) is associated with the development of cervical cancer. HPV can be classified to highand low-risk type according to its malignant potenti...
    Sun Kim, Byoung-Tak Zhang
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    IFIP12
    2007
    164views Information Technology» more  IFIP12 2007»
    Patient Fall Detection using Support Vector Machines
    13 years 10 months ago
    Patient Fall Detection using Support Vector Machines
    Download  www.ait.gr
    This paper presents a novel implementation of a patient fall detection system that may be used for patient activity recognition and emergency treatment. Sensors equipped with accel...
    Charalampos Doukas, Ilias Maglogiannis, Philippos ...
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    IMECS
    2007
    187views Theoretical Computer Science» more  IMECS 2007»
    Support Vector Machine for Cardiac Beat Detection in Single Lead Electrocardiogram
    13 years 10 months ago
    Support Vector Machine for Cardiac Beat Detection in Single Lead Electrocardiogram
    Download  www.iaeng.org
    — Among all ECG components, QRS complex is the most significant feature. Entropy based method for the detection of QRS complexes (cardiac beat) in the single lead Electrocardiogr...
    Sarabjeet Singh Mehta, Nitin Shivappa Lingayat
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    NAACL
    2007
    142views Computational Linguistics» more  NAACL 2007»
    Semi-Supervised Learning for Semantic Parsing using Support Vector Machines
    13 years 10 months ago
    Semi-Supervised Learning for Semantic Parsing using Support Vector Machines
    Download  www.cs.utexas.edu
    We present a method for utilizing unannotated sentences to improve a semantic parser which maps natural language (NL) sentences into their formal meaning representations (MRs). Gi...
    Rohit J. Kate, Raymond J. Mooney
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