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119
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ICASSP
2010
IEEE
15 years 3 months ago
Approaches to automatic lexicon learning with limited training examples
Preparation of a lexicon for speech recognition systems can be a significant effort in languages where the written form is not exactly phonetic. On the other hand, in languages w...
Nagendra Goel, Samuel Thomas, Mohit Agarwal, Pinar...
150
Voted
JMLR
2010
143views more  JMLR 2010»
14 years 10 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
166
Voted
ESOP
2011
Springer
14 years 7 months ago
Measure Transformer Semantics for Bayesian Machine Learning
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...
Johannes Borgström, Andrew D. Gordon, Michael...
122
Voted
VL
2007
IEEE
123views Visual Languages» more  VL 2007»
15 years 10 months ago
Introductory Computing Construct Use in an End-User Programming Community
Previous studies of end-user programmers have indicated a reliance on related examples for learning. Accordingly, we analyzed the projects contained in an online community with re...
Brian Dorn, Allison Elliott Tew, Mark Guzdial
114
Voted
VL
2003
IEEE
102views Visual Languages» more  VL 2003»
15 years 9 months ago
Programming for communication: overcoming motivational barriers to computation for all
Computer science as a discipline is failing to reach a diverse audience. As a result, computational illiteracy threatens many groups of underserved students—women, minorities an...
Andrea Forte