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TKDE
2008
128views more  TKDE 2008»
15 years 7 months ago
Mixed-Drove Spatiotemporal Co-Occurrence Pattern Mining
Mixed-drove spatiotemporal co-occurrence patterns (MDCOPs) represent subsets of two or more different object-types whose instances are often located in spatial and temporal proximi...
Mete Celik, Shashi Shekhar, James P. Rogers, James...
QUESTA
2010
89views more  QUESTA 2010»
15 years 6 months ago
Asymptotically optimal importance sampling for Jackson networks with a tree topology
Consider a stable open Jackson Network with a tree topology. Customers arrive at the single root of the tree. The system is stable in the sense that the average service rate at ea...
Ali Devin Sezer
PIMRC
2010
IEEE
15 years 5 months ago
Self-optimizing routing in MANETs with multi-class flows
In this paper we show how game theory and Gibbs sampling techniques can be used to design a self-optimizing algorithm for minimizing end-to-end delays for all flows in a multi-clas...
Pierre Coucheney, Bruno Gaujal, Corinne Touati
WWW
2008
ACM
16 years 8 months ago
Dynamic cost-per-action mechanisms and applications to online advertising
We study the Cost-Per-Action or Cost-Per-Acquisition (CPA) charging scheme in online advertising. In this scheme, instead of paying per click, the advertisers pay only when a user...
Hamid Nazerzadeh, Amin Saberi, Rakesh Vohra
ATAL
2007
Springer
16 years 1 months ago
Advice taking in multiagent reinforcement learning
This paper proposes the β-WoLF algorithm for multiagent reinforcement learning (MARL) in the stochastic games framework that uses an additional “advice” signal to inform agen...
Michael Rovatsos, Alexandros Belesiotis