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SIGIR
2011
ACM
14 years 10 months ago
Collaborative competitive filtering: learning recommender using context of user choice
While a user’s preference is directly reflected in the interactive choice process between her and the recommender, this wealth of information was not fully exploited for learni...
Shuang-Hong Yang, Bo Long, Alexander J. Smola, Hon...
AAAI
2012
13 years 10 months ago
Learning the Kernel Matrix with Low-Rank Multiplicative Shaping
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
Tomer Levinboim, Fei Sha
CLEF
2004
Springer
16 years 1 months ago
Mono- and Crosslingual Retrieval Experiments at the University of Hildesheim
In this year’s participation we continued to evaluate open source information retrieval software. We used mainly the system Lucene and experimented with some of the most effecti...
René Hackl, Thomas Mandl, Christa Womser-Ha...
PKDD
2009
Springer
138views Data Mining» more  PKDD 2009»
16 years 2 months ago
Margin and Radius Based Multiple Kernel Learning
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
Huyen Do, Alexandros Kalousis, Adam Woznica, Melan...
ICRA
2008
IEEE
173views Robotics» more  ICRA 2008»
16 years 2 months ago
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...