667 search results - page 50 / 134 » Learning to Model Sequences Generated by Switching Distribut... |
113
Voted
UAI
2003
15 years 5 months ago
2003
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
160
Voted
SSPR
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. In surveillance systems for monitoring people behaviour, it is imporant to build systems that can adapt to the signatures of the people tasks and movements in the environ...
146
Voted
CVPR
2011
IEEE
14 years 12 months ago
2011
IEEE
We describe a generative model of the relationship between two images. The model is deļ¬ned as a factored threeway Boltzmann machine, in which hidden variables collaborate to deļ...
126
Voted
SDM
2008
SIAM
15 years 5 months ago
2008
SIAM
Supervised learning on sequence data, also known as sequence classification, has been well recognized as an important data mining task with many significant applications. Since te...
140
Voted
BMCBI
2006
15 years 3 months ago
2006
Background: Existing tools for multiple-sequence alignment focus on aligning protein sequence or protein-coding DNA sequence, and are often based on extensions to Needleman-Wunsch...