Sciweavers

2006 search results - page 40 / 402
» Classification and feature selection with human performance ...
Sort
View
IJCNN
2000
IEEE
15 years 3 months ago
A Training Method with Small Computation for Classification
A training data selection method for multi-class data is proposed. This method can be used for multilayer neural networks (MLNN). The MLNN can be applied to pattern classification...
Kazuyuki Hara, Kenji Nakayama
PAKDD
2000
ACM
128views Data Mining» more  PAKDD 2000»
15 years 3 months ago
A Comparative Study of Classification Based Personal E-mail Filtering
This paper addresses personal E-mail filtering by casting it in the framework of text classification. Modeled as semi-structured documents, Email messages consist of a set of field...
Yanlei Diao, Hongjun Lu, Dekai Wu
CORR
2011
Springer
200views Education» more  CORR 2011»
14 years 6 months ago
Using Feature Weights to Improve Performance of Neural Networks
Different features have different relevance to a particular learning problem. Some features are less relevant; while some very important. Instead of selecting the most relevant fe...
Ridwan Al Iqbal
GRC
2008
IEEE
15 years 26 days ago
Fuzzy Entropy based Max-Relevancy and Min-Redundancy Feature Selection
Feature selection is an important problem for pattern classification systems. Mutual information is a good indicator of relevance between variables, and has been used as a measure...
Shuang An, Qinghua Hu, Daren Yu
GECCO
2003
Springer
191views Optimization» more  GECCO 2003»
15 years 5 months ago
Artificial Immune System for Classification of Gene Expression Data
DNA microarray experiments generate thousands of gene expression measurement simultaneously. Analyzing the difference of gene expression in cell and tissue samples is useful in dia...
Shin Ando, Hitoshi Iba