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» On the Noise Model of Support Vector Machines Regression
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KDD
2000
ACM
153views Data Mining» more  KDD 2000»
14 years 16 days ago
The generalized Bayesian committee machine
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
Volker Tresp
CSL
2010
Springer
13 years 9 months ago
Speech segmentation using regression fusion of boundary predictions
In the present work we study the appropriateness of a number of linear and non-linear regression methods, employed on the task of speech segmentation, for combining multiple phone...
Iosif Mporas, Todor Ganchev, Nikos Fakotakis

Book
778views
15 years 7 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
KDD
2003
ACM
129views Data Mining» more  KDD 2003»
14 years 9 months ago
Online novelty detection on temporal sequences
: 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...
Junshui Ma, Simon Perkins
JMM2
2007
59views more  JMM2 2007»
13 years 8 months ago
Single-Ended Quality Measurement of Noise Suppressed Speech Based on Kullback-Leibler Distances
— In this paper, a single-ended quality measurement algorithm for noise suppressed speech is described. The proposed algorithm computes fast approximations of KullbackLeibler dis...
Tiago H. Falk, Hua Yuan, Wai-Yip Chan