1291 search results - page 213 / 259 » Learning Rules from Distributed Data |
121
Voted
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
112
Voted
ICDCS
2009
IEEE
15 years 11 months ago
2009
IEEE
Clustering and aggregation inherently increase wireless sensor network (WSN) lifetime by collecting information within a cluster at a cluster head, reducing the amount of data thr...
118
click to vote
MICAI
2007
Springer
15 years 8 months ago
2007
Springer
A problem of supervised approaches for text classification is that they commonly require high-quality training data to construct an accurate classifier. Unfortunately, in many real...
112
click to vote
CIKM
2006
Springer
15 years 6 months ago
2006
Springer
Incremental hierarchical text document clustering algorithms are important in organizing documents generated from streaming on-line sources, such as, Newswire and Blogs. However, ...
125
click to vote
COLT
2008
Springer
15 years 4 months ago
2008
Springer
Clustering Stability methods are a family of widely used model selection techniques applied in data clustering. Their unifying theme is that an appropriate model should result in ...