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HEURISTICS
2008
120views more  HEURISTICS 2008»
15 years 6 months ago
A local linear embedding module for evolutionary computation optimization
A Local Linear Embedding (LLE) module enhances the performance of two Evolutionary Computation (EC) algorithms employed as search tools in global optimization problems. The LLE em...
Fabio Boschetti
CSDA
2006
84views more  CSDA 2006»
15 years 6 months ago
Three-mode partitioning
The three-mode partitioning model is a clustering model for three-way three-mode data sets that implies a simultaneous partitioning of all three modes involved in the data. In the...
Jan Schepers, Iven Van Mechelen, Eva Ceulemans
IJCV
2008
188views more  IJCV 2008»
15 years 6 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin
165
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IJON
2006
90views more  IJON 2006»
15 years 6 months ago
Reinforcement learning of a simple control task using the spike response model
In this work, we propose a variation of a direct reinforcement learning algorithm, suitable for usage with spiking neurons based on the spike response model (SRM). The SRM is a bi...
Murilo Saraiva de Queiroz, Roberto Coelho de Berr&...
JSW
2008
220views more  JSW 2008»
15 years 6 months ago
Empirical validation of Software development effort multipliers of Intermediate COCOMO Model
Intermediate COCOMO Model computes effort as a function of program size and a set of cost drivers. Effort adjustment factor (EAF) is calculated using 15 cost drivers. EAF is an imp...
M. J. Basavaraj, K. C. Shet