LNCC wins an international Machine Learning Competition
The international machine learning competition organized by Aspiring Minds was won by the Brazilian team "LNCC", composed by Douglas A. Augusto, Helio J.C. Barbosa, and myself.
The competition atracted more than 760 entries from different countries. The challenge was to infer classifiers to evaluate the performance of individuals and three aspects were considered in the final evaluation: accuracy, interpretability, and methodology. The problem was solved using a high-performance implementation of the genetic programming (GP) technique.
More details are available in www.aspiringminds.in/mlCompetition
Publications
The last publictations
- Surrogate-assisted clonal selection algorithms for expensive optimization problems.
Evolutionary Intelligence (Print), v. 4, p. 81-97, 2011. - Genetic Programming in Civil, Structural, and Environmental Engineering.
Computational Technology Reviews. Civil-Comp Press, 2011, v. 4, p. 115-145.
Presentations
Slides of the last presentations
- Evolução Grammatical e Inferência de Modelos
II Jornada em Inteligência Computacional.
download
Projects
Some projects being developed
- Eureka Optima.
An opensource project developed in C++. Several optimization techniques, benchmark functions, and grammars for optimization of complex structures are being implemented. - Adaptive Penalty Method -- APM.
This project contains implementations (Java, C, C++, ...) of the Adaptive Penalty Method, or shortly APM.