1864 search results - page 164 / 373 » Modeling Classification and Inference Learning |
118
Voted
BMCBI
2006
15 years 1 months ago
2006
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
113
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
Users of topic modeling methods often have knowledge about the composition of words that should have high or low probability in various topics. We incorporate such domain knowledg...
111
Voted
NIPS
1997
15 years 2 months ago
1997
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
110
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
We introduce a new inference algorithm for Dirichlet process mixture models. While Gibbs sampling and variational methods focus on local moves, the new algorithm makes more global...
3DPVT
2006
IEEE
15 years 7 months ago
2006
IEEE
We present an algorithm for automatic locating of anthropometric landmarks on 3D human scans. Our method is based on learning landmark characteristics and the spatial relationship...