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» Properties of Support Vector Machines
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BMCBI
2010
120views more  BMCBI 2010»
15 years 6 months ago
AntiBP2: improved version of antibacterial peptide prediction
Background: Antibacterial peptides are one of the effecter molecules of innate immune system. Over the last few decades several antibacterial peptides have successfully approved a...
Sneh Lata, Nitish K. Mishra, Gajendra P. S. Raghav...
BICOB
2010
Springer
15 years 4 months ago
Multiple Kernel Learning for Fold Recognition
Fold recognition is a key problem in computational biology that involves classifying protein sharing structural similarities into classes commonly known as "folds". Rece...
Huzefa Rangwala
JMLR
2010
121views more  JMLR 2010»
15 years 1 months ago
Sparse Semi-supervised Learning Using Conjugate Functions
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
Shiliang Sun, John Shawe-Taylor
ESANN
2004
15 years 7 months ago
Sparse LS-SVMs using additive regularization with a penalized validation criterion
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
ICFEM
2003
Springer
15 years 11 months ago
Generic Interacting State Machines and Their Instantiation with Dynamic Features
Interacting State Machines (ISMs) are used to model reactive systems and to express and verify their properties. They can be seen both as automata exchanging messages simultaneousl...
David von Oheimb, Volkmar Lotz