1013 search results - page 123 / 203 » The Bayesian inference of phase |
149
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KI
2010
Springer
15 years 1 months ago
2010
Springer
Recognizing human intentions is part of the decision process in many technical devices. In order to achieve natural interaction, the required estimation quality and the used comput...
161
Voted
TSP
2010
14 years 10 months ago
2010
Nonparametric Bayesian methods are employed to constitute a mixture of low-rank Gaussians, for data x RN that are of high dimension N but are constrained to reside in a low-dimen...
143
Voted
ECOOP
2010
Springer
15 years 8 months ago
2010
Springer
Abstract. With the current surge of scripting technologies, large programs are being built with dynamically typed languages. As these programs grow in size, semantics-based tools g...
132
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ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
125
Voted
CSL
2006
Springer
15 years 3 months ago
2006
Springer
Grammar induction, also known as grammar inference, is one of the most important research areas in the domain of natural language processing. Availability of large corpora has enc...