37 search results - page 2 / 8 » Discriminative versus generative parameter and structure lea... |
156
Voted
ML
2008
ACM
15 years 3 months ago
2008
ACM
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
156
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AAAI
2004
15 years 5 months ago
2004
The aim of this paper is to compare Bayesian network classifiers to the k-NN classifier based on a subset of features. This subset is established by means of sequential feature se...
173
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BMCBI
2011
14 years 7 months ago
2011
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
143
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IJCAI
2003
15 years 5 months ago
2003
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
143
Voted
EMNLP
2006
15 years 5 months ago
2006
In this paper we show that generative models are competitive with and sometimes superior to discriminative models, when both kinds of models are allowed to learn structures that a...