2166 search results - page 154 / 434 » Support Vector Regression Machines |
94
Voted
KDD
2003
ACM
16 years 1 months ago
2003
ACM
: Novelty detection, or anomaly detection, on temporal sequences has increasingly attracted attention from researchers in different areas. In this paper, we present a new framework...
151
Voted
ESSMAC
2003
Springer
15 years 6 months ago
2003
Springer
Abstract. While there is strong motivation for using Gaussian Processes (GPs) due to their excellent performance in regression and classification problems, their computational com...
172
Voted
Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
122
Voted
ALT
2000
Springer
15 years 4 months ago
2000
Springer
In this paper1 we propose a new algorithm for providing confidence and credibility values for predictions on a multi-class pattern recognition problem which uses Support Vector mac...
100
click to vote
BMCBI
2007
15 years 1 months ago
2007
Background: Predicting the suppression activity of antisense oligonucleotide sequences is the main goal of the rational design of nucleic acids. To create an effective predictive ...