Communications of the ACM - Special issue on parallelism
Pattern Recognition Letters - Special issue on fuzzy set technology in pattern recognition
The Racing Algorithm: Model Selection for Lazy Learners
Artificial Intelligence Review - Special issue on lazy learning
Reduction Techniques for Instance-BasedLearning Algorithms
Machine Learning
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Foundations of Neuro-Fuzzy Systems
Foundations of Neuro-Fuzzy Systems
Meta-learning via Search Combined with Parameter Optimization
Proceedings of the IIS'2002 Symposium on Intelligent Information Systems
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Pattern Recognition, Third Edition
Pattern Recognition, Third Edition
Improved heterogeneous distance functions
Journal of Artificial Intelligence Research
Building Localized Basis Function Networks Using Context Dependent Clustering
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Image Classification by Histogram Features Created with Learning Vector Quantization
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Fuzzy Symbolic Dynamics for Neurodynamical Systems
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
Improving accuracy of LVQ algorithm by instance weighting
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
Self-organizing map representation for clustering wikipedia search results
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
Computational complexity reduction and interpretability improvement of distance-based decision trees
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
Selecting representative prototypes for prediction the oxygen activity in electric arc furnace
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
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Prototype-based rules are an interesting alternative to fuzzy and crisp logical rules, in many cases providing simpler, more accurate and more comprehensible description of the data. Such rules may be directly converted to fuzzy rules. A new algorithm for generation of prototype-based rules is introduced and a comparison with results obtained by neurofuzzy systems on a number of datasets provided.