Sciweavers

229 search results - page 25 / 46
» Fuzzy Classifiers Based on Kernel Discriminant Analysis
Sort
View
MCS
2004
Springer
14 years 2 months ago
Multiple Classifiers System for Reducing Influences of Atypical Observations
Atypical observations, which are called outliers, are one of difficulties to apply standard Gaussian density based pattern classification methods. Large number of outliers makes di...
Sarunas Raudys, Masakazu Iwamura
JIIS
2006
73views more  JIIS 2006»
13 years 9 months ago
Using KCCA for Japanese-English cross-language information retrieval and document classification
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...
Yaoyong Li, John Shawe-Taylor
FLAIRS
2006
13 years 10 months ago
Analysis of Galactic Spectra using Noise-Aware Learning Algorithms
We introduce a novel learning algorithm for noise elimination. Our algorithm is based on the re-measurement idea for the correction of erroneous observations and is able to discri...
H. Jair Escalante, Olac Fuentes
BMCBI
2007
144views more  BMCBI 2007»
13 years 9 months ago
Application of amino acid occurrence for discriminating different folding types of globular proteins
Background: Predicting the three-dimensional structure of a protein from its amino acid sequence is a long-standing goal in computational/molecular biology. The discrimination of ...
Y.-h. Taguchi, M. Michael Gromiha
GECCO
2003
Springer
171views Optimization» more  GECCO 2003»
14 years 2 months ago
Genetic Algorithm Optimized Feature Transformation - A Comparison with Different Classifiers
When using a Genetic Algorithm (GA) to optimize the feature space of pattern classification problems, the performance improvement is not only determined by the data set used, but a...
Zhijian Huang, Min Pei, Erik D. Goodman, Yong Huan...