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GECCO
2004
Springer
145views Optimization» more  GECCO 2004»
15 years 10 months ago
Search Based Automatic Test-Data Generation at an Architectural Level
Abstract. The need for effective testing techniques for architectural level descriptions is widely recognised. However, due to the variety of domain-specific architectural descript...
Yuan Zhan, John A. Clark
ADMA
2006
Springer
121views Data Mining» more  ADMA 2006»
15 years 10 months ago
A New Polynomial Time Algorithm for Bayesian Network Structure Learning
We propose a new algorithm called SCD for learning the structure of a Bayesian network. The algorithm is a kind of constraintbased algorithm. By taking advantage of variable orderi...
Sanghack Lee, Jihoon Yang, Sungyong Park
AE
2005
Springer
15 years 10 months ago
Incorporating Knowledge of Secondary Structures in a L-System-Based Encoding for Protein Folding
An encoding scheme for protein folding on lattice models, inspired by parametric L-systems, was proposed. The encoding incorporates problem domain knowledge in the form of predesig...
Gabriela Ochoa, Gabi Escuela, Natalio Krasnogor
IICAI
2003
15 years 6 months ago
Performance Analysis of an Acyclic Genetic approach to Learn Bayesian Network Structure
Abstract. We introduce a new genetic algorithm approach for learning a Bayesian network structure from data. Our method is capable of learning over all node orderings and structure...
Pankaj B. Gupta, Vicki H. Allan
ICSE
2008
IEEE-ACM
16 years 5 months ago
ARTOO: adaptive random testing for object-oriented software
Intuition is often not a good guide to know which testing strategies will work best. There is no substitute for experimental analysis based on objective criteria: how many bugs a ...
Ilinca Ciupa, Andreas Leitner, Manuel Oriol, Bertr...