Information-Theoretic Measures for Meta-learning
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Learning Classifier Systems: Looking Back and Glimpsing Ahead
Learning Classifier Systems
Data Complexity Analysis: Linkage between Context and Solution in Classification
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Modeling Problem Transformations based on Data Complexity
Proceedings of the 2007 conference on Artificial Intelligence Research and Development
On the Dimensions of Data Complexity through Synthetic Data Sets
Proceedings of the 2008 conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
Discriminative Shape Alignment
IPMI '09 Proceedings of the 21st International Conference on Information Processing in Medical Imaging
A fast computation of inter-class overlap measures using prototype reduction schemes
Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence
The data complexity index to construct an efficient cross-validation method
Decision Support Systems
IEEE Transactions on Evolutionary Computation
Estimating classifier performance with genetic programming
EuroGP'11 Proceedings of the 14th European conference on Genetic programming
On the use of different classification rules in an editing task
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Classifier selection based on data complexity measures
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
Data characterization for effective prototype selection
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Edit distance based kernel functions for attributed graph matching
GbRPR'05 Proceedings of the 5th IAPR international conference on Graph-Based Representations in Pattern Recognition
Evolving data sets to highlight the performance differences between machine learning classifiers
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Domains of competence of the semi-naive Bayesian network classifiers
Information Sciences: an International Journal
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We study the domain of dominant competence of six popular classifiers in a space of data complexity measurements. We observe that the simplest classifiers, nearest neighbor and linear classifier, have extreme behavior of being the best for the easiest and the most difficult problems respectively, while the sophisticated ensemble classifiers tend to be robust for wider types of problems and are largely equivalent in performance. We characterize such behavior in detail using the data complexity metrics, and discuss how such a study can be matured for providing practical guidelines in classifier selection.