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TEC
2002
88views more  TEC 2002»
13 years 9 months ago
Parallelism and evolutionary algorithms
Abstract--This paper contains a modern vision of the parallelization techniques used for evolutionary algorithms (EAs). The work is motivated by two fundamental facts: first, the d...
Enrique Alba, Marco Tomassini
TSMC
2002
156views more  TSMC 2002»
13 years 9 months ago
Varieties of learning automata: an overview
Automata models of learning systems introduced in the 1960s were popularized as learning automata (LA) in a survey paper in 1974 [1]. Since then, there have been many fundamental a...
M. A. L. Thathachar, P. Shanti Sastry
PAMI
2007
107views more  PAMI 2007»
13 years 9 months ago
Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression
—In this paper, based on ideas from lossy data coding and compression, we present a simple but effective technique for segmenting multivariate mixed data that are drawn from a mi...
Yi Ma, Harm Derksen, Wei Hong, John Wright
CIKM
2010
Springer
13 years 8 months ago
Term necessity prediction
The probability that a term appears in relevant documents ( ) is a fundamental quantity in several probabilistic retrieval models, however it is difficult to estimate without rele...
Le Zhao, Jamie Callan
ICFEM
2010
Springer
13 years 8 months ago
A Modular Scheme for Deadlock Prevention in an Object-Oriented Programming Model
Despite the advancements of concurrency theory in the past decades, practical concurrent programming has remained a challenging activity. Fundamental problems such as data races an...
Scott West, Sebastian Nanz, Bertrand Meyer