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    NIPS
    2007
    162views Information Technology» more  NIPS 2007»
    Bundle Methods for Machine Learning
    13 years 10 months ago
    Bundle Methods for Machine Learning
    Download  books.nips.cc
    We present a globally convergent method for regularized risk minimization problems. Our method applies to Support Vector estimation, regression, Gaussian Processes, and any other ...
    Alex J. Smola, S. V. N. Vishwanathan, Quoc V. Le
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    ADCM
    2010
    59views more  ADCM 2010»
    Sampling inequalities for infinitely smooth functions, with applications to interpolation and machine learning
    13 years 9 months ago
    Sampling inequalities for infinitely smooth functions, with applications to interpolation and machine learning
    Download  num.math.uni-goettingen.de
    Sampling inequalities give a precise formulation of the fact that a differentiable function cannot attain large values, if its derivatives are bounded and if it is small on a suff...
    Christian Rieger, Barbara Zwicknagl
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    JIB
    2006
    220views more  JIB 2006»
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    13 years 9 months ago
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    Download  journal.imbio.de
    Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
    Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
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    DSS
    2008
    186views more  DSS 2008»
    A machine learning approach to web page filtering using content and structure analysis
    13 years 9 months ago
    A machine learning approach to web page filtering using content and structure analysis
    Download  ai.arizona.edu
    As the Web continues to grow, it has become increasingly difficult to search for relevant information using traditional search engines. Topic-specific search engines provide an al...
    Michael Chau, Hsinchun Chen
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    ICPR
    2008
    IEEE
    193views Computer Vision» more  ICPR 2008»
    Multiple kernel learning from sets of partially matching image features
    14 years 10 months ago
    Multiple kernel learning from sets of partially matching image features
    Download  www.control2008.org
    Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
    Guo ShengYang, Min Tan, Si-Yao Fu, Zeng-Guang Hou,...
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