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» Game-Theoretic Learning Using the Imprecise Dirichlet Model
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CORR
2002
Springer
108views Education» more  CORR 2002»
13 years 5 months ago
Learning to Play Games in Extensive Form by Valuation
Game theoretic models of learning which are based on the strategic form of the game cannot explain learning in games with large extensive form. We study learning in such games by ...
Philippe Jehiel, Dov Samet
ICML
2009
IEEE
14 years 6 months ago
Incorporating domain knowledge into topic modeling via Dirichlet Forest priors
Users of topic modeling methods often have knowledge about the composition of words that should have high or low probability in various topics. We incorporate such domain knowledg...
David Andrzejewski, Xiaojin Zhu, Mark Craven
ICCV
2007
IEEE
14 years 7 months ago
Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes
We develop nonparametric Bayesian models for multiscale representations of images depicting natural scene categories. Individual features or wavelet coefficients are marginally de...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...
ICML
2005
IEEE
14 years 6 months ago
Modeling word burstiness using the Dirichlet distribution
Multinomial distributions are often used to model text documents. However, they do not capture well the phenomenon that words in a document tend to appear in bursts: if a word app...
Rasmus Elsborg Madsen, David Kauchak, Charles Elka...
CIKM
2009
Springer
13 years 12 months ago
Cross-language linking of news stories on the web using interlingual topic modelling
We have studied the problem of linking event information across different languages without the use of translation systems or dictionaries. The linking is based on interlingua in...
Wim De Smet, Marie-Francine Moens