1864 search results - page 35 / 373 » Modeling Classification and Inference Learning |
ICMLA
2009
13 years 8 months ago
2009
Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...
RECOMB
2010
Springer
13 years 12 months ago
2010
Springer
In this work we consider an inference task that biologists are very good at: deciphering biological processes by bringing together knowledge that has been obtained by experiments u...
ICML
2003
IEEE
14 years 11 months ago
2003
IEEE
This paper analyzes the performance of semisupervised learning of mixture models. We show that unlabeled data can lead to an increase in classification error even in situations wh...
ALT
2000
Springer
14 years 7 months ago
2000
Springer
This paper provides a systematic study of inductive inference of indexable concept classes in learning scenarios in which the learner is successful if its final hypothesis describ...
JMLR
2010
13 years 5 months ago
2010
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...