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» MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm
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FLAIRS
2011
14 years 5 months ago
Learning Opponent Strategies through First Order Induction
In a competitive game it is important to identify the opponent’s strategy as quickly and accurately as possible so that an effective response can be staged. In this vain, this p...
Katie Long Genter, Santiago Ontañón,...
SIGIR
2012
ACM
13 years 4 months ago
Boosting multi-kernel locality-sensitive hashing for scalable image retrieval
Similarity search is a key challenge for multimedia retrieval applications where data are usually represented in high-dimensional space. Among various algorithms proposed for simi...
Hao Xia, Pengcheng Wu, Steven C. H. Hoi, Rong Jin
ICML
2004
IEEE
16 years 2 months ago
Unifying collaborative and content-based filtering
Collaborative and content-based filtering are two paradigms that have been applied in the context of recommender systems and user preference prediction. This paper proposes a nove...
Justin Basilico, Thomas Hofmann
115
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MLDM
2007
Springer
15 years 8 months ago
Nonlinear Feature Selection by Relevance Feature Vector Machine
Support vector machine (SVM) has received much attention in feature selection recently because of its ability to incorporate kernels to discover nonlinear dependencies between feat...
Haibin Cheng, Haifeng Chen, Guofei Jiang, Kenji Yo...
SIGIR
2006
ACM
15 years 8 months ago
Learning a ranking from pairwise preferences
We introduce a novel approach to combining rankings from multiple retrieval systems. We use a logistic regression model or an SVM to learn a ranking from pairwise document prefere...
Ben Carterette, Desislava Petkova