Hybrid Artificial Intelligent Systems: 7th International Conference, HAIS 2012, Salamanca, Spain, March 28-30th, 2012, Proceedings, Part 2
Emilio S. Corchado Rodriguez, Vaclav Snasel, Ajith Abraham, Michal Wozniak, Manuel Grana, Sung-Bae Cho
Springer Science & Business Media, Mar 21, 2012 - Computers - 606 pages
The two LNAI volumes 7208 and 7209 constitute the proceedings of the 7th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2012, held in Salamanca, Spain, in March 2012. The 118 papers published in these proceedings were carefully reviewed and selected from 293 submissions. They are organized in topical sessions on agents and multi agents systems, HAIS applications, cluster analysis, data mining and knowledge discovery, evolutionary computation, learning algorithms, systems, man, and cybernetics by HAIS workshop, methods of classifier fusion, HAIS for computer security (HAISFCS), data mining: data preparation and analysis, hybrid artificial intelligence systems in management of production systems, hybrid artificial intelligent systems for ordinal regression, hybrid metaheuristics for combinatorial optimization and modelling complex systems, hybrid computational intelligence and lattice computing for image and signal processing and nonstationary models of pattern recognition and classifier combinations.
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accuracy analysis applied approach attributes Berlin Heidelberg 2012 binary biometrics cellular automata chromosome classifiers clustering computational concept drift considered Corchado data mining datasets decision tree defined detection dimensionality discretization distance distribution endmembers ensemble error evaluation evolutionary evolutionary algorithms experimental extraction function fuzzy set genetic algorithm gradient Heidelberg hybrid hyperspectral image IEEE Transactions improve input instances Intelligence International k-NN labels lattice linear LNCS Machine Learning matrix measure method minority class multi-label multi-label classification nearest neighbor neural networks neurons node noise number of examples obtained operation optimal ordinal regression output parameters Pattern Recognition performance phase pixels prediction problem production proposed random Random Forest reduction represent rule samples selection solution Spain University spectral Springer Springer-Verlag Berlin Heidelberg statistical strategy structure subset subsethood support vector machines Table techniques tensor tent map tion training set transformation University of Technology values variable weights