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» Tackling Large State Spaces in Performance Modelling
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ESOP
2004
Springer
14 years 2 months ago
Canonical Graph Shapes
Abstract. Graphs are an intuitive model for states of a (software) system that include pointer structures — for instance, object-oriented programs. However, a naive encoding resu...
Arend Rensink
ICDAR
2009
IEEE
13 years 6 months ago
Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
CD
2005
Springer
14 years 2 months ago
Modelling Deployment Using Feature Descriptions and State Models for Component-Based Software Product Families
Abstract. Products within a product family are composed of different component configurations where components have different variable features and a large amount of dependency re...
Slinger Jansen, Sjaak Brinkkemper
GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
14 years 15 days ago
How an optimal observer can collapse the search space
Many metaheuristics have difficulty exploring their search space comprehensively. Exploration time and efficiency are highly dependent on the size and the ruggedness of the search...
Christophe Philemotte, Hugues Bersini
SPIN
2010
Springer
13 years 7 months ago
Context-Enhanced Directed Model Checking
Directed model checking is a well-established technique to efficiently tackle the state explosion problem when the aim is to find error states in concurrent systems. Although dir...
Martin Wehrle, Sebastian Kupferschmid