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ICML
2009
IEEE
16 years 7 months ago
Convex variational Bayesian inference for large scale generalized linear models
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
Hannes Nickisch, Matthias W. Seeger
ICML
2006
IEEE
16 years 7 months ago
Locally adaptive classification piloted by uncertainty
Locally adaptive classifiers are usually superior to the use of a single global classifier. However, there are two major problems in designing locally adaptive classifiers. First,...
Juan Dai, Shuicheng Yan, Xiaoou Tang, James T. Kwo...
ECML
2007
Springer
16 years 24 days ago
Using Text Mining and Link Analysis for Software Mining
Many data mining techniques are these days in use for ontology learning – text mining, Web mining, graph mining, link analysis, relational data mining, and so on. In the current ...
Miha Grcar, Marko Grobelnik, Dunja Mladenic
ECTEL
2007
Springer
16 years 24 days ago
Building Domain Ontologies from Text for Educational Purposes
—This paper presents a semiautomatic framework that aims to produce domain concept maps from text and then to derive domain ontologies from these concept maps. This methodology p...
Amal Zouaq, Roger Nkambou, Claude Frasson
168
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ICANN
2009
Springer
15 years 11 months ago
On the Knowledge Organization in Concept Formation: An Exploratory Cognitive Modeling Study
Abstract. Recent cognitive modeling studies suggest the effectiveness of metaheuristic optimization in describing human cognitive behaviors. Such models are built on the basis of p...
Toshihiko Matsuka, Hidehito Honda, Arieta Chouchou...