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NIPS
2004
14 years 11 months ago
A Topographic Support Vector Machine: Classification Using Local Label Configurations
The standard approach to the classification of objects is to consider the examples as independent and identically distributed (iid). In many real world settings, however, this ass...
Johannes Mohr, Klaus Obermayer
ESWA
2006
102views more  ESWA 2006»
14 years 9 months ago
A study of Taiwan's issuer credit rating systems using support vector machines
By providing credit risk information, credit rating systems benefit most participants in financial markets, including issuers, investors, market regulators and intermediaries. In ...
Wun-Hwa Chen, Jen-Ying Shih
BMCBI
2007
142views more  BMCBI 2007»
14 years 9 months ago
Predicting and improving the protein sequence alignment quality by support vector regression
Background: For successful protein structure prediction by comparative modeling, in addition to identifying a good template protein with known structure, obtaining an accurate seq...
Minho Lee, Chan-seok Jeong, Dongsup Kim
ICDAR
2009
IEEE
14 years 7 months ago
Lexicon-Based Word Recognition Using Support Vector Machine and Hidden Markov Model
Hybrid of Neural Network (NN) and Hidden Markov Model (HMM) has been popular in word recognition, taking advantage of NN discriminative property and HMM representational capabilit...
Abdul Rahim Ahmad, Christian Viard-Gaudin, Marzuki...
IWANN
2009
Springer
15 years 4 months ago
Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints
This work proposes the use of maximal variation analysis for feature selection within least squares support vector machines for survival analysis. Instead of selecting a subset of ...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...