791 search results - page 63 / 159 » Learning Probabilistic Ontologies with Distributed Parameter... |
NIPS
2000
13 years 10 months ago
2000
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. As s...
ECML
2007
Springer
14 years 3 months ago
2007
Springer
Many real-world classification applications fall into the class of positive and unlabeled (PU) learning problems. In many such applications, not only could the negative training ex...
ICMLA
2009
13 years 6 months ago
2009
Abstract--We investigate parameter-based and distributionbased approaches to regularizing the generative, similarity-based classifier called local similarity discriminant analysis ...
SIGIR
2003
ACM
14 years 2 months ago
2003
ACM
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
UAI
2000
13 years 10 months ago
2000
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...