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» On obfuscating point functions
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BMCBI
2005
112views more  BMCBI 2005»
15 years 6 months ago
Towards precise classification of cancers based on robust gene functional expression profiles
Background: Development of robust and efficient methods for analyzing and interpreting high dimension gene expression profiles continues to be a focus in computational biology. Th...
Zheng Guo, Tianwen Zhang, Xia Li, Qi Wang, Jianzhe...
ICML
2006
IEEE
16 years 7 months ago
On a theory of learning with similarity functions
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
Maria-Florina Balcan, Avrim Blum
ML
2008
ACM
110views Machine Learning» more  ML 2008»
15 years 4 months ago
A theory of learning with similarity functions
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
Maria-Florina Balcan, Avrim Blum, Nathan Srebro
JAT
2011
93views more  JAT 2011»
15 years 1 months ago
Approximation theorems for group valued functions
Stone-Weierstrass-type theorems for groups of group-valued functions with discrete range or discrete domain are obtained. We study criteria for a subgroup of the group of continuou...
Jorge Galindo, Manuel Sanchis
BMCBI
2005
124views more  BMCBI 2005»
15 years 6 months ago
Probabilistic annotation of protein sequences based on functional classifications
: One of the most evident achievements of bioinformatics is the development of methods that transfer biological knowledge from characterised proteins to uncharacterised sequences. ...
Emmanuel D. Levy, Christos A. Ouzounis, Walter R. ...