Handbook of Evolutionary Computation
Handbook of Evolutionary Computation
Artficial Immune Systems and Their Applications
Artficial Immune Systems and Their Applications
Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing
Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing
Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models
Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
The Handbook of Brain Theory and Neural Networks
The Handbook of Brain Theory and Neural Networks
Membrane Computing: An Introduction
Membrane Computing: An Introduction
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Support Vector Machines: Theory and Applications (Studies in Fuzziness and Soft Computing)
Support Vector Machines: Theory and Applications (Studies in Fuzziness and Soft Computing)
Data Mining and Knowledge Discovery Handbook
Data Mining and Knowledge Discovery Handbook
Fundamentals of Computational Swarm Intelligence
Fundamentals of Computational Swarm Intelligence
Modern Information Processing: From Theory to Applications
Modern Information Processing: From Theory to Applications
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Fast learning in networks of locally-tuned processing units
Neural Computation
The many facets of natural computing
Communications of the ACM
Numerical Recipes 3rd Edition: The Art of Scientific Computing
Numerical Recipes 3rd Edition: The Art of Scientific Computing
Analysis of Biological Data: A Soft Computing Approach - Vol. 3
Analysis of Biological Data: A Soft Computing Approach - Vol. 3
Pattern Recognition and Neural Networks
Pattern Recognition and Neural Networks
2009 Special Issue: RKF-PCA: Robust kernel fuzzy PCA
Neural Networks
Knowledge discovery approach to automated cardiac SPECT diagnosis
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Study on data preprocessing for daylight climate data
ICICA'12 Proceedings of the Third international conference on Information Computing and Applications
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A fuzzy set based preprocessing method is described that may be used in the classification of patterns. This method, dispersion-adjusted fuzzy quartile encoding, determines the respective degrees to which a feature (attribute) belongs to a collection of fuzzy sets that overlap at the respective quartile boundaries of the feature. The fuzzy sets are adjusted to take into account the overall dispersion of values for a feature. The membership values are subsequently used in place of the original feature value. This transformation has a normalizing effect on the feature space and is robust to feature outliers. This preprocessing method, empirically evaluated using five biomedical datasets, is shown to improve the discriminatory power of the underlying classifiers.