360 search results - page 16 / 72 » Multiclass Support Vector Machines for Articulatory Feature ... |
KDD
2000
ACM
13 years 11 months ago
2000
ACM
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
BMCBI
2006
13 years 8 months ago
2006
Motivation Protein remote homology prediction and fold recognition are central problems in computational biology. Supervised learning algorithms based on support vector machines a...
NN
2000
Springer
13 years 7 months ago
2000
Springer
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...
JCP
2008
13 years 8 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
TSD
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. In this paper we introduce two ideas for phoneme classification: First, we derive the necessary steps to integrate linear transform into the computation of reproducing ke...