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» Importance Sampling for Continuous Time Bayesian Networks
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INTERSPEECH
2010
14 years 4 months ago
Learning a language model from continuous speech
This paper presents a new approach to language model construction, learning a language model not from text, but directly from continuous speech. A phoneme lattice is created using...
Graham Neubig, Masato Mimura, Shinsuke Mori, Tatsu...
UAI
2004
14 years 10 months ago
"Ideal Parent" Structure Learning for Continuous Variable Networks
In recent years, there is a growing interest in learning Bayesian networks with continuous variables. Learning the structure of such networks is a computationally expensive proced...
Iftach Nachman, Gal Elidan, Nir Friedman
83
Voted
IDA
2003
Springer
15 years 2 months ago
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
Allan Tucker, Xiaohui Liu
CN
2010
83views more  CN 2010»
14 years 9 months ago
Secure peer sampling
PuppetCast is a protocol for secure peer sampling in large-scale distributed systems. A peer sampling protocol continuously provides each node in the system with a uniform random ...
Gian Paolo Jesi, Alberto Montresor, Maarten van St...
ISLPED
2004
ACM
153views Hardware» more  ISLPED 2004»
15 years 2 months ago
Any-time probabilistic switching model using bayesian networks
Modeling and estimation of switching activities remain to be important problems in low-power design and fault analysis. A probabilistic Bayesian Network based switching model can ...
Shiva Shankar Ramani, Sanjukta Bhanja