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SIGMETRICS
2008
ACM
138views Hardware» more  SIGMETRICS 2008»
13 years 7 months ago
Utility maximization in peer-to-peer systems
In this paper, we study the problem of utility maximization in P2P systems, in which aggregate application-specific utilities are maximized by running distributed algorithms on P2...
Minghua Chen, Miroslav Ponec, Sudipta Sengupta, Ji...
ICML
2009
IEEE
14 years 8 months ago
SimpleNPKL: simple non-parametric kernel learning
Previous studies of Non-Parametric Kernel (NPK) learning usually reduce to solving some Semi-Definite Programming (SDP) problem by a standard SDP solver. However, time complexity ...
Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi
CORR
2010
Springer
179views Education» more  CORR 2010»
13 years 5 months ago
An Economic-based Resource Management and Scheduling for Grid Computing Applications
Resource management and scheduling plays a crucial role in achieving high utilization of resources in grid computing environments. Due to heterogeneity of resources, scheduling an...
G. Murugesan, C. Chellappan
ICML
1995
IEEE
14 years 8 months ago
Residual Algorithms: Reinforcement Learning with Function Approximation
A number of reinforcement learning algorithms have been developed that are guaranteed to converge to the optimal solution when used with lookup tables. It is shown, however, that ...
Leemon C. Baird III
TSP
2008
101views more  TSP 2008»
13 years 7 months ago
Bayesian Compressive Sensing
The data of interest are assumed to be represented as N-dimensional real vectors, and these vectors are compressible in some linear basis B, implying that the signal can be recons...
Shihao Ji, Ya Xue, Lawrence Carin