2252 search results - page 119 / 451 » A distributed machine learning framework |
147
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ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
We introduce a framework for filtering features that employs the Hilbert-Schmidt Independence Criterion (HSIC) as a measure of dependence between the features and the labels. The ...
113
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ECML
2006
Springer
15 years 6 months ago
2006
Springer
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. We approach this setting from a case-based perspective and propo...
180
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WWW
2010
ACM
15 years 10 months ago
2010
ACM
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
147
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AAAI
2011
14 years 2 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
147
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ICDM
2010
IEEE
15 years 27 days ago
2010
IEEE
Abstract--This paper presents a framework for privacypreserving Gaussian Mixture Model computations. Specifically, we consider a scenario where a central service wants to learn the...