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» Improved Algorithms via Approximations of Probability Distri...
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CVPR
2007
IEEE
15 years 11 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
ATAL
2008
Springer
14 years 11 months ago
Approximating power indices
Many multiagent domains where cooperation among agents is crucial to achieving a common goal can be modeled as coalitional games. However, in many of these domains, agents are une...
Yoram Bachrach, Evangelos Markakis, Ariel D. Proca...
COMPLIFE
2006
Springer
15 years 1 months ago
Adaptive Approach for Modelling Variability in Pharmacokinetics
Abstract. We present an improved adaptive approach for studying systems of ODEs affected by parameter variability and state space uncertainty. Our approach is based on a reformulat...
Andrea Y. Weiße, Illia Horenko, Wilhelm Huis...
ICML
2000
IEEE
15 years 2 months ago
Lightweight Rule Induction
We propose a new rule induction algorithm for solving classification problems via probability estimation. The main advantage of decision rules is their simplicity and good interp...
Sholom M. Weiss, Nitin Indurkhya
SIGSOFT
2007
ACM
15 years 10 months ago
Recommending random walks
We improve on previous recommender systems by taking advantage of the layered structure of software. We use a random-walk approach, mimicking the more focused behavior of a develo...
Zachary M. Saul, Vladimir Filkov, Premkumar T. Dev...