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    BMCBI
    2007
    194views more  BMCBI 2007»
    Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
    13 years 7 months ago
    Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
    Download  www.biomedcentral.com
    Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
    Xin Zhao, Leo Wang-Kit Cheung
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    TVCG
    2012
    162views Hardware» more  TVCG 2012»
    A Statistical Quality Model for Data-Driven Speech Animation
    11 years 10 months ago
    A Statistical Quality Model for Data-Driven Speech Animation
    Download  graphics.cs.uh.edu
    —In recent years, data-driven speech animation approaches have achieved significant successes in terms of animation quality. However, how to automatically evaluate the realism o...
    Xiaohan Ma, Zhigang Deng
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    NIPS
    1990
    266views Information Technology» more  NIPS 1990»
    Bumptrees for Efficient Function, Constraint and Classification Learning
    13 years 8 months ago
    Bumptrees for Efficient Function, Constraint and Classification Learning
    Download  www.icsi.berkeley.edu
    A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
    Stephen M. Omohundro
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    JMLR
    2008
    111views more  JMLR 2008»
    Ranking Categorical Features Using Generalization Properties
    13 years 7 months ago
    Ranking Categorical Features Using Generalization Properties
    Download  jmlr.csail.mit.edu
    Feature ranking is a fundamental machine learning task with various applications, including feature selection and decision tree learning. We describe and analyze a new feature ran...
    Sivan Sabato, Shai Shalev-Shwartz
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    EOR
    2007
    165views more  EOR 2007»
    Adaptive credit scoring with kernel learning methods
    13 years 7 months ago
    Adaptive credit scoring with kernel learning methods
    Download  www.crc.man.ed.ac.uk
    Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
    Yingxu Yang
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