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» Composite kernel learning
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148
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BIOINFORMATICS
2005
140views more  BIOINFORMATICS 2005»
15 years 3 months ago
Profile-based direct kernels for remote homology detection and fold recognition
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
172
Voted
PLDI
2011
ACM
14 years 6 months ago
Automatic compilation of MATLAB programs for synergistic execution on heterogeneous processors
MATLAB is an array language, initially popular for rapid prototyping, but is now being increasingly used to develop production code for numerical and scientific applications. Typ...
Ashwin Prasad, Jayvant Anantpur, R. Govindarajan
107
Voted
ICML
2009
IEEE
16 years 4 months ago
Surrogate regret bounds for proper losses
We present tight surrogate regret bounds for the class of proper (i.e., Fisher consistent) losses. The bounds generalise the margin-based bounds due to Bartlett et al. (2006). The...
Mark D. Reid, Robert C. Williamson
92
Voted
ICALT
2007
IEEE
15 years 9 months ago
Semantic processing for text mapping onto information space
This paper reports on an approach which maps documents onto an ontology-based information space in order to provide support for machine-mediated communication. First, a composite ...
Weiqiang Ou, Adel Elsayed
127
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COLT
2004
Springer
15 years 9 months ago
A Statistical Mechanics Analysis of Gram Matrix Eigenvalue Spectra
Abstract. The Gram matrix plays a central role in many kernel methods. Knowledge about the distribution of eigenvalues of the Gram matrix is useful for developing appropriate model...
David C. Hoyle, Magnus Rattray