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    BIOINFORMATICS
    2005
    140views more  BIOINFORMATICS 2005»
    Profile-based direct kernels for remote homology detection and fold recognition
    14 years 9 months ago
    Profile-based direct kernels for remote homology detection and fold recognition
    Download  glaros.dtc.umn.edu
    Motivation: Remote homology detection between protein sequences is a central problem in computational biology. Supervised learning algorithms based on support vector machines are ...
    Huzefa Rangwala, George Karypis
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    EUSFLAT
    2003
    129views Fuzzy Logic» more  EUSFLAT 2003»
    Application of f-regression method to fuzzy classification problem
    14 years 11 months ago
    Application of f-regression method to fuzzy classification problem
    Download  www.eusflat.org
    In regression analysis, outliers always represent difficulties because they cause modeling errors. But under certain circumstances, they can actually contain useful information, as...
    Boris Izyumov
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    ICML
    2003
    IEEE
    146views Machine Learning» more  ICML 2003»
    Learning Metrics via Discriminant Kernels and Multidimensional Scaling: Toward Expected Euclidean Representation
    15 years 10 months ago
    Learning Metrics via Discriminant Kernels and Multidimensional Scaling: Toward Expected Euclidean Representation
    Download  www.hpl.hp.com
    Distance-based methods in machine learning and pattern recognition have to rely on a metric distance between points in the input space. Instead of specifying a metric a priori, we...
    Zhihua Zhang
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    EACL
    2006
    ACL Anthology
    142views Natural Language Processing» more  EACL 2006»
    Using Encyclopedic Knowledge for Named entity Disambiguation
    14 years 11 months ago
    Using Encyclopedic Knowledge for Named entity Disambiguation
    Download  www.aclweb.org
    We present a new method for detecting and disambiguating named entities in open domain text. A disambiguation SVM kernel is trained to exploit the high coverage and rich structure...
    Razvan C. Bunescu, Marius Pasca
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    AAAI
    2008
    154views Intelligent Agents» more  AAAI 2008»
    In-the-Dark Network Traffic Classification Using Support Vector Machines
    14 years 12 months ago
    In-the-Dark Network Traffic Classification Using Support Vector Machines
    Download  www.cs.wfu.edu
    This work addresses the problem of in-the-dark traffic classification for TCP sessions, an important problem in network management. An innovative use of support vector machines (S...
    William H. Turkett Jr., Andrew V. Karode, Errin W....
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