791 search results - page 38 / 159 » Learning Probabilistic Ontologies with Distributed Parameter... |
JMLR
2010
13 years 3 months ago
2010
Probabilistic models of the performance of computer systems are useful both for predicting system performance in new conditions, and for diagnosing past performance problems. The ...
ICML
2001
IEEE
14 years 9 months ago
2001
IEEE
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
CCGRID
2005
IEEE
14 years 2 months ago
2005
IEEE
CSCL systems can benefit from using a grid, since it offers a common infrastructure allowing an extended pool of resources that can provide supercomputing capabilities as well as...
SIGIR
2008
ACM
13 years 8 months ago
2008
ACM
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...