1860 search results - page 177 / 372 » Boosting Methods for Regression |
131
Voted
DSMML
2004
Springer
15 years 8 months ago
2004
Springer
The informative vector machine (IVM) is a practical method for Gaussian process regression and classification. The IVM produces a sparse approximation to a Gaussian process by com...
124
Voted
CLUSTER
2003
IEEE
15 years 7 months ago
2003
IEEE
Application run-time information is a fundamental component in application and job scheduling. However, accurate predictions of run times are difficult to achieve for parallel app...
ICANN
2001
Springer
15 years 7 months ago
2001
Springer
Sparse kernel regressors have become popular by applying the support vector method to regression problems. Although this approach has been shown to exhibit excellent generalization...
110
Voted
NIPS
2001
15 years 3 months ago
2001
This paper presents AutoDJ: a system for automatically generating music playlists based on one or more seed songs selected by a user. AutoDJ uses Gaussian Process Regression to le...
116
Voted
NN
2006
Springer
15 years 2 months ago
2006
Springer
The paper presents machine learning (ML) models that predict sedimentation in the harbour basin of the Port of Rotterdam. The important factors affecting the sedimentation process...