Sciweavers

1149 search results - page 8 / 230
» Comparing parameter tuning methods for evolutionary algorith...
Sort
View
71
Voted
ERSHOV
2006
Springer
15 years 2 months ago
On the Importance of Parameter Tuning in Text Categorization
Abstract. Text Categorization algorithms have a large number of parameters that determine their behaviour, whose effect is not easily predicted objectively or intuitively and may v...
Cornelis H. A. Koster, Jean Beney
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 2 months ago
Controlling overfitting with multi-objective support vector machines
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
Ingo Mierswa
EMO
2003
Springer
93views Optimization» more  EMO 2003»
15 years 3 months ago
Intensity Modulated Beam Radiation Therapy Dose Optimization with Multiobjective Evolutionary Algorithms
We apply the NSGA-II algorithm and its controlled elitist version NSGA-IIc for the intensity modulated beam radiotherapy dose optimization problem. We compare the performance of th...
Michael Lahanas, Eduard Schreibmann, Natasa Milick...
108
Voted
ACL
2007
14 years 12 months ago
A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing
This paper presents a comparative study of five parameter estimation algorithms on four NLP tasks. Three of the five algorithms are well-known in the computational linguistics com...
Jianfeng Gao, Galen Andrew, Mark Johnson, Kristina...
UAI
2008
14 years 12 months ago
The Computational Complexity of Sensitivity Analysis and Parameter Tuning
While known algorithms for sensitivity analysis and parameter tuning in probabilistic networks have a running time that is exponential in the size of the network, the exact comput...
Johan Kwisthout, Linda C. van der Gaag