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INTERSPEECH
2010
13 years 3 months ago
Semi-supervised training of Gaussian mixture models by conditional entropy minimization
In this paper, we propose a new semi-supervised training method for Gaussian Mixture Models. We add a conditional entropy minimizer to the maximum mutual information criteria, whi...
Jui-Ting Huang, Mark Hasegawa-Johnson
CHI
2007
ACM
14 years 9 months ago
A minimal model for predicting visual search in human-computer interaction
Visual search is an important part of human-computer interaction. It is critical that we build theory about how people visually search displays in order to better support the user...
Tim Halverson, Anthony J. Hornof
ACL
2010
13 years 7 months ago
Minimized Models and Grammar-Informed Initialization for Supertagging with Highly Ambiguous Lexicons
We combine two complementary ideas for learning supertaggers from highly ambiguous lexicons: grammar-informed tag transitions and models minimized via integer programming. Each st...
Sujith Ravi, Jason Baldridge, Kevin Knight
EMMCVPR
2001
Springer
14 years 1 months ago
Designing the Minimal Structure of Hidden Markov Model by Bisimulation
Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
Manuele Bicego, Agostino Dovier, Vittorio Murino
LREC
2010
155views Education» more  LREC 2010»
13 years 10 months ago
Efficient Minimal Perfect Hash Language Models
The recent availability of large collections of text such as the Google 1T 5-gram corpus (Brants and Franz, 2006) and the Gigaword corpus of newswire (Graff, 2003) have made it po...
David Guthrie, Mark Hepple, Wei Liu