703 search results - page 37 / 141 » Predicting Time Series with Support Vector Machines |
143
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
We propose a novel approach that reduces cost-sensitive classification to one-sided regression. The approach stores the cost information in the regression labels and encodes the m...
150
click to vote
BMCBI
2007
15 years 3 months ago
2007
Background: For successful protein structure prediction by comparative modeling, in addition to identifying a good template protein with known structure, obtaining an accurate seq...
108
Voted
IJCAI
2007
15 years 4 months ago
2007
: This article presents the method of Support Vectors Machines (SVM) for predicting probability of survival in critically ill patients by using Platt’s method to fit a sigmoid1 ....
130
Voted
BMCBI
2008
15 years 3 months ago
2008
Background: Mass spectrometry is a key technique in proteomics and can be used to analyze complex samples quickly. One key problem with the mass spectrometric analysis of peptides...
132
Voted
UAI
2000
15 years 4 months ago
2000
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...