Performance Analysis of Statistical Pattern Recognition Methods in KEEL

The Performance of Statistical Pattern Recognition Methods in High Dimensional Settings

We report on an extensive simulation study comparing eight statistical classiication methods, focusing on problems where the number of observations is less than the number of variables. Using a wide range of artiicial and real data, two types of classiiers were contrasted; methods that classify using all variables, and methods that rst reduce the number of dimensions to two or three. The full f...

Statistical Pattern Recognition Statistical Pattern Recognition Second Edition

review of radiographic methods in dental implantology

چکیده ندارد.

Pattern Recognition Methods for Gene Expression Analysis

Computer pattern recognition is a very important field of the human knowledge with applications in complex and diversified areas. Particularly in bioinformatics, pattern recognition is applied to address a miriad of problems such as identification of important regions in DNA sequences, biological classification (diagnostic) of a tissue based on mRNA expression of thousands of genes, functional ...

Studies in Computational Statistical Methods with Applications to Pattern Recognition and Data Analysis

Acknowledgements I thank my supervisor, Professor Lasse Holmström, for initially introducing me to the world of nonparametric function estimation and for pointing out fruitful directions during my journey towards this thesis. I am also grateful to Dr. Petri Koistinen for many helpful pieces of advice. The support from the people at the Rolf Nevanlinna Institute is warmly acknowledged. Working w...