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    » Constraint Score: A new filter method for feature selection ...
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    BMCBI
    2008
    135views more  BMCBI 2008»
    Functional site prediction selects correct protein models
    13 years 7 months ago
    Functional site prediction selects correct protein models
    Download  www.biomedcentral.com
    Background: The prediction of protein structure can be facilitated by the use of constraints based on a knowledge of functional sites. Without this information it is still possibl...
    Vijayalakshmi Chelliah, William R. Taylor
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    SDM
    2012
    SIAM
    216views Data Mining» more  SDM 2012»
    Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
    11 years 10 months ago
    Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
    Download  www.hpl.hp.com
    :  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
    George Forman
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    ICRA
    2009
    IEEE
    100views Robotics» more  ICRA 2009»
    Multi-robot plan adaptation by constrained minimal distortion feature mapping
    13 years 5 months ago
    Multi-robot plan adaptation by constrained minimal distortion feature mapping
    Download  www.iis.ee.ic.ac.uk
    We propose a novel method for multi-robot plan adaptation which can be used for adapting existing spatial plans of robotic teams to new environments or imitating collaborative spat...
    Bálint Takács, Yiannis Demiris
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    CVPR
    2008
    IEEE
    168views Computer Vision» more  CVPR 2008»
    Image decomposition into structure and texture subcomponents with multifrequency modulation constraints
    14 years 9 months ago
    Image decomposition into structure and texture subcomponents with multifrequency modulation constraints
    Download  cvsp.cs.ntua.gr
    Texture information in images is coupled with geometric macrostructures and piecewise-smooth intensity variations. Decomposing an image f into a geometric structure component u an...
    Georgios Evangelopoulos, Petros Maragos
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    ICML
    2009
    IEEE
    246views Machine Learning» more  ICML 2009»
    BoltzRank: learning to maximize expected ranking gain
    14 years 8 months ago
    BoltzRank: learning to maximize expected ranking gain
    Download  www.cs.toronto.edu
    Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
    Maksims Volkovs, Richard S. Zemel
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