1023 search results - page 45 / 205 » Learning automata based classifier |
HIS
2004
13 years 11 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
KDD
1995
ACM
14 years 1 months ago
1995
ACM
We report a novel possibility for extracting a small subset of a data base which contains all the information necessary to solve a given classification task: using the Support Vec...
KDD
2002
ACM
14 years 10 months ago
2002
ACM
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
WWW
2007
ACM
14 years 10 months ago
2007
ACM
We address the problem of identifying the domain of online databases. More precisely, given a set F of Web forms automatically gathered by a focused crawler and an online database...
ICPR
2008
IEEE
14 years 11 months ago
2008
IEEE
The classification performance of nearest prototype classifiers largely relies on the prototype learning algorithms, such as the learning vector quantization (LVQ) and the minimum...