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DAC
2001
ACM
14 years 10 months ago
Semi-Formal Test Generation with Genevieve
This paper describes the first application of the Genevieve test generation methodology. The Genevieve approach uses semi-formal techniques derived from "model-checking"...
Julia Dushina, Mike Benjamin, Daniel Geist
FLAIRS
2004
13 years 10 months ago
Indirect Encoding Evolutionary Learning Algorithm for the Multilayer Morphological Perceptron
This article describes an indirectly encoded evolutionary learning algorithm to train morphological neural networks. The indirect encoding method is an algorithm in which the trai...
Jorge L. Ortiz, Roberto Piñeiro
IJCNN
2008
IEEE
14 years 3 months ago
Building meta-learning algorithms basing on search controlled by machine complexity
Abstract— Meta-learning helps us find solutions to computational intelligence (CI) challenges in automated way. Metalearning algorithm presented in this paper is universal and m...
Norbert Jankowski, Krzysztof Grabczewski
GECCO
2005
Springer
159views Optimization» more  GECCO 2005»
14 years 2 months ago
Using evolutionary algorithms for the unit testing of object-oriented software
As the paradigm of object orientation becomes more and more important for modern IT development projects, the demand for an automated test case generation to dynamically test obje...
Stefan Wappler, Frank Lammermann
EDM
2009
179views Data Mining» more  EDM 2009»
13 years 6 months ago
Learning Factors Transfer Analysis: Using Learning Curve Analysis to Automatically Generate Domain Models
This paper describes a novel method to create a quantitative model of an educational content domain of related practice item-types using learning curves. By using a pairwise test t...
Philip I. Pavlik Jr., Hao Cen, Kenneth R. Koedinge...