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102
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JUCS
2008
139views more  JUCS 2008»
15 years 13 days ago
Parallel Strategies for Stochastic Evolution
: This paper discusses the parallelization of Stochastic Evolution (StocE) metaheuristic, for a distributed parallel environment. VLSI cell placement is used as an optimization pro...
Sadiq M. Sait, Khawar S. Khan, Mustafa Imran Ali
JPDC
2007
86views more  JPDC 2007»
15 years 10 days ago
Strategies to create platforms for differentiated services from dedicated and opportunistic resources
This paper is proposing a new platform for implementing services in future service oriented architectures. The basic premise of our proposal is that by combining large volume of u...
Shah Asaduzzaman, Muthucumaru Maheswaran
100
Voted
NAACL
2010
14 years 10 months ago
Distributed Training Strategies for the Structured Perceptron
Perceptron training is widely applied in the natural language processing community for learning complex structured models. Like all structured prediction learning frameworks, the ...
Ryan T. McDonald, Keith Hall, Gideon Mann
94
Voted
ICPR
2000
IEEE
16 years 1 months ago
On Gaussian Radial Basis Function Approximations: Interpretation, Extensions, and Learning Strategies
In this paper we focus on an interpretation of Gaussian radial basis functions (GRBF) which motivates extensions and learning strategies. Specifically, we show that GRBF regressio...
Mário A. T. Figueiredo
TNN
1998
76views more  TNN 1998»
15 years 3 days ago
Multiobjective genetic algorithm partitioning for hierarchical learning of high-dimensional pattern spaces: a learning-follows-d
— In this paper, we present a novel approach to partitioning pattern spaces using a multiobjective genetic algorithm for identifying (near-)optimal subspaces for hierarchical lea...
Rajeev Kumar, Peter Rockett