8331 search results - page 262 / 1667 » Data Aggregation Sets in Adaptive Data Model |
185
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NN
2006
Springer
15 years 6 months ago
2006
Springer
The paper deals with the concept of relevance learning in learning vector quantization and classification. Recent machine learning approaches with the ability of metric adaptation...
172
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NAACL
2010
15 years 4 months ago
2010
In this paper we propose a novel general framework for unsupervised model adaptation. Our method is based on entropy which has been used previously as a regularizer in semi-superv...
200
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ICASSP
2010
IEEE
15 years 5 months ago
2010
IEEE
Data-driven analysis methods, in particular independent component analysis (ICA) has proven quite useful for the analysis of functional magnetic imaging (fMRI) data. In addition, ...
210
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BMCBI
2004
15 years 6 months ago
2004
Background: Microarray and other high-throughput technologies are producing large sets of interesting genes that are difficult to analyze directly. Bioinformatics tools are needed...
251
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KDD
2012
ACM
13 years 9 months ago
2012
ACM
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....