566 search results - page 20 / 114 » A Bayesian Approach to Semi-Supervised Learning |
158
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
150
Voted
CORR
2012
Springer
13 years 10 months ago
2012
Springer
Bayesian priors offer a compact yet general means of incorporating domain knowledge into many learning tasks. The correctness of the Bayesian analysis and inference, however, lar...
143
Voted
ICML
2010
IEEE
15 years 23 days ago
2010
IEEE
Temporal difference (TD) algorithms are attractive for reinforcement learning due to their ease-of-implementation and use of "bootstrapped" return estimates to make effi...
135
Voted
ICML
2001
IEEE
16 years 3 months ago
2001
IEEE
Hard disk drive failures are rare but are often costly. The ability to predict failures is important to consumers, drive manufacturers, and computer system manufacturers alike. In...
116
Voted
ICPR
2004
IEEE
16 years 3 months ago
2004
IEEE
In this paper we use a variational Bayesian framework for color image segmentation. Each image is represented in the L*u*v color coordinate system before being segmented by the va...