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» Nested support vector machines
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KDD
2006
ACM
165views Data Mining» more  KDD 2006»
16 years 4 months ago
Training linear SVMs in linear time
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Thorsten Joachims
117
Voted
ECML
2004
Springer
15 years 9 months ago
Using String Kernels to Identify Famous Performers from Their Playing Style
Abstract. In this paper we show a novel application of string kernels: that is to the problem of recognising famous pianists from their style of playing. The characterstics of perf...
Craig Saunders, David R. Hardoon, John Shawe-Taylo...
143
Voted
GECCO
2008
Springer
232views Optimization» more  GECCO 2008»
15 years 4 months ago
An efficient SVM-GA feature selection model for large healthcare databases
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
Rick Chow, Wei Zhong, Michael Blackmon, Richard St...
BMCBI
2010
130views more  BMCBI 2010»
15 years 3 months ago
Amino acid "little Big Bang": Representing amino acid substitution matrices as dot products of Euclidian vectors
Background: Sequence comparisons make use of a one-letter representation for amino acids, the necessary quantitative information being supplied by the substitution matrices. This ...
Karel Zimmermann, Jean-François Gibrat
COMPSAC
2009
IEEE
15 years 4 months ago
Modular Certification of Low-Level Intermediate Representation Programs
Modular certification of low-level intermediate representation (IR) programs is one of the key steps of proof-transforming compilation. The major challenges are lexity of abstract ...
Yuan Dong, Shengyuan Wang, Liwei Zhang, Ping Yang