30 search results - page 4 / 6 » Map approach to learning sparse Gaussian Markov networks |
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"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
ICIC
2005
Springer
15 years 3 months ago
2005
Springer
Rather than the difficulties of highly non-linear and non-Gaussian observation process and the state distribution in single target tracking, the presence of a large, varying number...
ACL
1998
14 years 11 months ago
1998
We present a connectionist architecture and demonstrate that it can learn syntactic parsing from a corpus of parsed text. The architecture can represent syntactic constituents, an...
IJCAI
2003
14 years 11 months ago
2003
This paper summarizes a probabilistic approach for localizing people through the signal strengths of a wireless IEEE 802.11b network. Our approach uses data labeled by ground trut...
ACCV
2006
Springer
15 years 3 months ago
2006
Springer
We first formulate multiple targets tracking problem in a dynamic Markov network(DMN)which is derived from a MRFs for joint target state and a binary process for occlusion of dual...