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SDM
2009
SIAM
112views Data Mining» more  SDM 2009»
15 years 11 months ago
A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.
Most commonly used inductive rule learning algorithms employ a hill-climbing search, whereas local pattern discovery algorithms employ exhaustive search. In this paper, we evaluat...
Frederik Janssen, Johannes Fürnkranz
ISPASS
2009
IEEE
15 years 9 months ago
Lonestar: A suite of parallel irregular programs
Until recently, parallel programming has largely focused on the exploitation of data-parallelism in dense matrix programs. However, many important application domains, including m...
Milind Kulkarni, Martin Burtscher, Calin Cascaval,...
142
Voted
AUSAI
2009
Springer
15 years 9 months ago
Probabilistic Seeking Prediction in P2P VoD Systems
In P2P VoD streaming systems, user behavior modeling is critical to help optimise user experience as well as system throughput. However, it still remains a challenging task due to ...
Weiwei Wang, Tianyin Xu, Yang Gao, Sanglu Lu
119
Voted
VW
2009
Springer
153views Virtual Reality» more  VW 2009»
15 years 9 months ago
A Content Management System for User-Driven Museums in Second life
—Over two decades, a great expectation on digital museums has been addressed but most of them have been implemented based on web technologies. Emerging Second Life, which support...
Kingkarn Sookhanaphibarn, Ruck Thawonmas
CIKM
2009
Springer
15 years 9 months ago
Large margin transductive transfer learning
Recently there has been increasing interest in the problem of transfer learning, in which the typical assumption that training and testing data are drawn from identical distributi...
Brian Quanz, Jun Huan