89 search results - page 15 / 18 » Learning Bayesian Classifiers from Gene-Expression MicroArra... |
ICML
2001
IEEE
15 years 10 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...
PAMI
2006
14 years 9 months ago
2006
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
94
Voted
ICIP
2010
IEEE
14 years 7 months ago
2010
IEEE
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
BMVC
2010
14 years 7 months ago
2010
We propose a novel directed graphical model for label propagation in lengthy and complex video sequences. Given hand-labelled start and end frames of a video sequence, a variation...
ICPR
2002
IEEE
15 years 10 months ago
2002
IEEE
Learning Bayesian Belief Networks (BBN) from corpora and incorporating the extracted inferring knowledge with a Support Vector Machines (SVM) classifier has been applied to charac...