994 search results - page 38 / 199 » Modeling and Inference with Relational Dynamic Bayesian Netw... |
147
Voted
PR
2011
14 years 9 months ago
2011
The Student’s-t hidden Markov model (SHMM) has been recently proposed as a robust to outliers form of conventional continuous density hidden Markov models, trained by means of t...
164
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ICCV
2007
IEEE
15 years 4 months ago
2007
IEEE
Development of multiple camera based vision systems for analysis of dynamic objects such as humans is challenging due to occlusions and similarity in the appearance of a person wi...
119
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JMLR
2010
14 years 9 months ago
2010
Networks are becoming a unifying framework for modeling complex systems and network inference problems are frequently encountered in many fields. Here, I develop and apply a gener...
125
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CCS
2008
ACM
15 years 4 months ago
2008
ACM
Given the increasing dependence of our societies on networked information systems, the overall security of these systems should be measured and improved. Existing security metrics...
158
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ESOP
2011
Springer
14 years 6 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...