149
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ECML
15 years 5 months ago
2006 Springer 
Abstract. This paper studies a Bayesian framework for density modeling with mixture of exponential family distributions. Variational Bayesian Dirichlet-Multinomial allocation (VBDM...
130
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ECML
15 years 5 months ago
2006 Springer 
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
127
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ECML
15 years 5 months ago
2006 Springer 
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
ECML
15 years 5 months ago
2006 Springer 
In this paper we formulate the problem of grouping the states of a discrete Markov chain of arbitrary order simultaneously with deconvolving its transition probabilities. As the na...
133
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ECML
15 years 4 months ago
2006 Springer 
Abstract-- Text categorization is the task of assigning predefined categories to natural language text. With the widely used `bag of words' representation, previous researches...
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Machine Learning