474 search results - page 11 / 95 » The Bayesian Structural EM Algorithm |
NIPS
2004
13 years 10 months ago
2004
We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are l...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
What type of algorithms and statistical techniques support learning from very large datasets over long stretches of time? We address this question through a memory bounded version...
ITRE
2005
IEEE
14 years 2 months ago
2005
IEEE
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
CIKM
2011
Springer
12 years 8 months ago
2011
Springer
Entity matching (EM) is the task of identifying records that refer to the same real-world entity from different data sources. While EM is widely used in data integration and data...
DASFAA
2004
IEEE
14 years 9 days ago
2004
IEEE
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...