254 search results - page 14 / 51 » Filtered Gaussian Processes for Learning with Large Data-Set... |
120
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Most of the existing approaches to collaborative filtering cannot handle very large data sets. In this paper we show how a class of two-layer undirected graphical models, called R...
148
Voted
KDD
2000
ACM
15 years 7 months ago
2000
ACM
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...
138
Voted
VIS
2004
IEEE
16 years 4 months ago
2004
IEEE
Noise reduction is an important preprocessing step for many visualization techniques that make use of feature extraction. We propose a method for denoising 2-D vector fields that ...
178
Voted
BMCBI
2007
15 years 3 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
127
Voted
CEAS
2007
Springer
15 years 7 months ago
2007
Springer
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...