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ML
2000
ACM
244views Machine Learning» more  ML 2000»
14 years 10 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
IJCSA
2007
100views more  IJCSA 2007»
14 years 10 months ago
Using Artificial Neural networks for the modelling of a distillation column
The main aim of this paper is to establish a reliable model both for the steady-state and unsteady-state regimes of a nonlinear process. The use of this model should reflect the t...
Yahya Chetouani
TSMC
2002
93views more  TSMC 2002»
14 years 9 months ago
Statistical analysis of the main parameters involved in the design of a genetic algorithm
Abstract--Most genetic algorithm (GA) users adjust the main parameters of the design of a GA (crossover and mutation probability, population size, number of generations, crossover,...
Ignacio Rojas, Jesús González, H&eac...
CIKM
2010
Springer
14 years 8 months ago
Visual cube and on-line analytical processing of images
On-Line Analytical Processing (OLAP) has shown great success in many industry applications, including sales, marketing, management, financial data analysis, etc. In this paper, w...
Xin Jin, Jiawei Han, Liangliang Cao, Jiebo Luo, Bo...
CCR
2011
14 years 5 months ago
Misbehaviors in TCP SACK generation
While analyzing CAIDA Internet traces of TCP traffic to detect instances of data reneging, we frequently observed seven misbehaviors in the generation of SACKs. These misbehaviors...
Nasif Ekiz, Abuthahir Habeeb Rahman, Paul D. Amer