99 search results - page 4 / 20 » Learning Taxonomies by Dependence Maximization |
174
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ROCAI
2004
Springer
15 years 3 months ago
2004
Springer
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
CVPR
2006
IEEE
15 years 4 months ago
2006
IEEE
The performance of many computer vision and machine learning algorithms critically depends on the quality of the similarity measure defined over the feature space. Previous works...
95
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ICML
2009
IEEE
15 years 11 months ago
2009
IEEE
Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
103
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BMCBI
2011
14 years 5 months ago
2011
Background: To characterize the diversity of bacterial populations in metagenomic studies, sequencing reads need to be accurately assigned to taxonomic units in a given reference ...
99
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CIDM
2009
IEEE
15 years 5 months ago
2009
IEEE
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...