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ICALT
2005
IEEE
15 years 7 months ago
The Effect of Correlation on the Accuracy of Meta-Learning Approach
Meta-learning is an efficient approach in the field of machine learning, which involves multiple classifiers. In this paper, a meta-learning framework consisting of stacking meta-...
Li-ying Yang, Zheng Qin
WSC
1997
15 years 2 months ago
On the Efficiency of the Splitting and Roulette Approach for Sensitivity Analysis
The paper is devoted to a brief review of a mathematical theory for the branching variance-reduction technique. The branching technique is an extension of von Neumann’s splittin...
Viatcheslav B. Melas
ANSS
2006
IEEE
15 years 7 months ago
A New Approach for Computing Conditional Probabilities of General Stochastic Processes
In this paper Hidden Markov Model algorithms are considered as a method for computing conditional properties of continuous-time stochastic simulation models. The goal is to develo...
Fabian Wickborn, Claudia Isensee, Thomas Simon, Sa...
EVOW
2001
Springer
15 years 6 months ago
An Evolutionary Annealing Approach to Graph Coloring
This paper presents a new heuristic algorithm for the graph coloring problem based on a combination of genetic algorithms and simulated annealing. Our algorithm exploits a novel cr...
Dimitris Fotakis, Spiridon D. Likothanassis, Stama...
WSC
2008
15 years 3 months ago
Automated Red Teaming: An objective-based Data Farming approach for Red Teaming
In this paper, we describe an objective-based Data Farming approach for red teaming called Automated Red Teaming (ART). The main idea is to develop an ART framework using Evolutio...
Ching Lian Chua, Wee Chung Sim, Chwee Seng Choo, V...