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KDD
2010
ACM
257views Data Mining» more  KDD 2010»
14 years 19 days ago
Multi-task learning for boosting with application to web search ranking
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
Olivier Chapelle, Pannagadatta K. Shivaswamy, Srin...
EOR
2007
104views more  EOR 2007»
13 years 8 months ago
Optimal resource allocation for security in reliability systems
Recent results have used game theory to explore the nature of optimal investments in the security of simple series and parallel systems. However, it is clearly important in practi...
M. Naceur Azaiez, Vicki M. Bier
ICML
2003
IEEE
14 years 9 months ago
Low Bias Bagged Support Vector Machines
Theoretical and experimental analyses of bagging indicate that it is primarily a variance reduction technique. This suggests that bagging should be applied to learning algorithms ...
Giorgio Valentini, Thomas G. Dietterich
UIST
2005
ACM
14 years 2 months ago
Preference elicitation for interface optimization
Decision-theoretic optimization is becoming a popular tool in the user interface community, but creating accurate cost (or utility) functions has become a bottleneck — in most c...
Krzysztof Gajos, Daniel S. Weld
ICCS
2009
Springer
14 years 3 months ago
A Massively Parallel Architecture for Bioinformatics
Abstract. Today’s general purpose computers lack in meeting the requirements on computing performance for standard applications in bioinformatics like DNA sequence alignment, err...
Gerd Pfeiffer, Stefan Baumgart, Jan Schröder,...