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CVPR
2007
IEEE
14 years 9 months ago
Optimizing Distribution-based Matching by Random Subsampling
We boost the efficiency and robustness of distributionbased matching by random subsampling which results in the minimum number of samples required to achieve a specified probabili...
Alex Po Leung, Shaogang Gong
SPAA
1997
ACM
13 years 11 months ago
Accessing Nearby Copies of Replicated Objects in a Distributed Environment
Consider a set of shared objects in a distributed network, where several copies of each object may exist at any given time. To ensure both fast access to the objects as well as e ...
C. Greg Plaxton, Rajmohan Rajaraman, Andréa...
ICCAD
1994
IEEE
61views Hardware» more  ICCAD 1994»
13 years 11 months ago
Simultaneous driver and wire sizing for performance and power optimization
In this paper, we study the simultaneousdriver and wire sizing (SDWS) problem under two objective functions: (i) delay minimization only, or (ii) combined delay and power dissipat...
Jason Cong, Cheng-Kok Koh
DMIN
2009
142views Data Mining» more  DMIN 2009»
13 years 5 months ago
Action Selection in Customer Value Optimization: An Approach Based on Covariate-Dependent Markov Decision Processes
Typical methods in CRM marketing include action selection on the basis of Markov Decision Processes with fixed transition probabilities on the one hand, and scoring customers separ...
Angi Roesch, Harald Schmidbauer
ROCAI
2004
Springer
14 years 27 days ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer