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AAAI
2008
13 years 8 months ago
Transfer Learning via Dimensionality Reduction
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
Sinno Jialin Pan, James T. Kwok, Qiang Yang
WWW
2009
ACM
14 years 6 months ago
Bid optimization for broad match ad auctions
Ad auctions in sponsored search support"broad match"that allows an advertiser to target a large number of queries while bidding only on a limited number. While giving mo...
Eyal Even-Dar, Vahab S. Mirrokni, S. Muthukrishnan...
AAAI
2012
11 years 8 months ago
Transfer Learning in Collaborative Filtering with Uncertain Ratings
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...
Weike Pan, Evan Wei Xiang, Qiang Yang
DEBS
2007
ACM
13 years 10 months ago
The arbitrary Boolean publish/subscribe model: making the case
In this paper, we present BoP, a content-based publish/subscribe system for arbitrary Boolean subscriptions and advertisements. BoP targets at the time and space-efficient matchin...
Sven Bittner, Annika Hinze
CVPR
2009
IEEE
15 years 1 months ago
Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer
We study the problem of object classification when training and test classes are disjoint, i.e. no training examples of the target classes are available. This setup has hardly be...
Christoph H. Lampert, Hannes Nickisch, Stefan Harm...