697 search results - page 24 / 140 » Learning a Hidden Hypergraph |
FMSD
2008
14 years 9 months ago
2008
Abstract Compositional reasoning aims to improve scalability of verification tools by reducing the original verification task into subproblems. The simplification is typically base...
107
click to vote
ATVA
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. Compositional reasoning aims to improve scalability of verification tools by reducing the original verification task into subproblems. The simplification is typically bas...
61
Voted
BMCBI
2008
14 years 9 months ago
2008
Background: The Baum-Welch learning procedure for Hidden Markov Models (HMMs) provides a powerful tool for tailoring HMM topologies to data for use in knowledge discovery and clus...
ECML
2005
Springer
15 years 3 months ago
2005
Springer
Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other task...
ECML
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Clustering has recently enjoyed progress via spectral methods which group data using only pairwise affinities and avoid parametric assumptions. While spectral clustering ...