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IPMU
2010
Springer
13 years 6 months ago
Approximation of Data by Decomposable Belief Models
It is well known that among all probabilistic graphical Markov models the class of decomposable models is the most advantageous in the sense that the respective distributions can b...
Radim Jirousek
ICASSP
2011
IEEE
12 years 11 months ago
Lexical access experiments with context-dependent articulatory feature-based models
We address the problem of pronunciation variation in conversational speech with a context-dependent articulatory featurebased model. The model is an extension of previous work usi...
Preethi Jyothi, Karen Livescu, Eric Fosler-Lussier
ECML
2007
Springer
14 years 1 months ago
Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search
We discuss how to learn non-recursive directed probabilistic logical models from relational data. This problem has been tackled before by upgrading the structure-search algorithm i...
Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendr...
AIED
2005
Springer
14 years 1 months ago
Developing a Bayes-net based student model for an External Representation Selection Tutor
Abstract. This paper describes the process by which we are constructing an intelligent tutoring system (ERST) designed to improve learners’ external representation (ER) selection...
Beate Grawemeyer, Richard Cox
LREC
2010
190views Education» more  LREC 2010»
13 years 9 months ago
Applying a Dynamic Bayesian Network Framework to Transliteration Identification
Identification of transliterations is aimed at enriching multilingual lexicons and improving performance in various Natural Language Processing (NLP) applications including Cross ...
Peter Nabende