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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
    15 years 1 months 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
    14 years 11 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
    14 years 11 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
    14 years 11 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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    NIPS
    2004
    142views Information Technology» more  NIPS 2004»
    The Entire Regularization Path for the Support Vector Machine
    14 years 11 months ago
    The Entire Regularization Path for the Support Vector Machine
    Download  jmlr.csail.mit.edu
    The support vector machine (SVM) is a widely used tool for classification. Many efficient implementations exist for fitting a two-class SVM model. The user has to supply values fo...
    Trevor Hastie, Saharon Rosset, Robert Tibshirani, ...
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