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» On the Theory of Stochastic Processors
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TON
2008
139views more  TON 2008»
14 years 9 months ago
Stochastic learning solution for distributed discrete power control game in wireless data networks
Distributed power control is an important issue in wireless networks. Recently, noncooperative game theory has been applied to investigate interesting solutions to this problem. Th...
Yiping Xing, Rajarathnam Chandramouli
80
Voted
NIPS
1993
14 years 11 months ago
Convergence of Stochastic Iterative Dynamic Programming Algorithms
Recent developments in the area of reinforcement learning have yielded a number of new algorithms for the prediction and control of Markovian environments. These algorithms,includ...
Tommi Jaakkola, Michael I. Jordan, Satinder P. Sin...
CORR
2011
Springer
178views Education» more  CORR 2011»
14 years 1 months ago
Online Learning: Stochastic and Constrained Adversaries
Learning theory has largely focused on two main learning scenarios. The first is the classical statistical setting where instances are drawn i.i.d. from a fixed distribution and...
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
CONCUR
2003
Springer
15 years 2 months ago
A Compositional Semantic Theory for Synchronous Component-based Design
Abstract. Digital signal processing and control (DSPC) tools allow application developers to assemble systems by connecting predefined components in signal–flow graphs and by h...
Barry Norton, Gerald Lüttgen, Michael Mendler
88
Voted
MOBIHOC
2008
ACM
15 years 9 months ago
Toward stochastic anatomy of inter-meeting time distribution under general mobility models
Recent discovery of the mixture (power-law and exponential) behavior of inter-meeting time distribution of mobile nodes presents new challenge to the problem of mobility modeling ...
Han Cai, Do Young Eun