Transfer Learning by Distribution Matching for Targeted Advertising

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We address the problem of learning classifiers for several related tasks that may differ in their joint distribution of input and output variables. For each task, small

Steffen Bickel, Christoph Sawade, Tobias Scheffer

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Information Technology | Large Unlabeled Samples | NIPS 2008 | Target Distribution | Unlabeled Samples |

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Added	30 Oct 2010
Updated	30 Oct 2010
Type	Conference
Year	2008
Where	NIPS
Authors	Steffen Bickel, Christoph Sawade, Tobias Scheffer

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Transfer Learning by Distribution Matching for Targeted Advertising

Information Technology | Large Unlabeled Samples | NIPS 2008 | Target Distribution | Unlabeled Samples |

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