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JMLR
2010
143views more  JMLR 2010»
14 years 11 months ago
Incremental Sigmoid Belief Networks for Grammar Learning
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
James Henderson, Ivan Titov
135
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AH
2004
Springer
15 years 7 months ago
A Learner Model in a Distributed Environment
A learner model must store all the relevant information about a student, including knowledge and attitude. This paper proposes a domain independent learner model based in the class...
Cristina Carmona, Ricardo Conejo
INTERSPEECH
2010
14 years 11 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...
ACL
2010
15 years 2 months ago
Domain Adaptation of Maximum Entropy Language Models
We investigate a recently proposed Bayesian adaptation method for building style-adapted maximum entropy language models for speech recognition, given a large corpus of written la...
Tanel Alumäe, Mikko Kurimo
ICIP
2007
IEEE
16 years 5 months ago
Nonstationary Blind Image Restoration using Variational Methods
The Variational Bayesian approach has recently been proposed to tackle the blind image restoration (BIR) problem. We consider extending the procedures to include realistic boundar...
Tom E. Bishop, Rafael Molina, James R. Hopgood