Sciweavers

871 search results - page 30 / 175
» Selection of Classifiers Based on Multiple Classifier Behavi...
Sort
View
KES
2006
Springer
15 years 2 months ago
Classification Using Multiple and Negative Target Rules
Rules are a type of human-understandable knowledge, and rule-based methods are very popular in building decision support systems. However, most current rule based classification sy...
Jiuyong Li, Jason Jones
ICPR
2008
IEEE
16 years 3 months ago
A method of feature selection using contribution ratio based on boosting
AdaBoost and support vector machines (SVM) algorithms are commonly used in the field of object recognition. As classifiers, their classification performance is sensitive to affect...
Masamitsu Tsuchiya, Hironobu Fujiyoshi
119
Voted
CORR
1999
Springer
67views Education» more  CORR 1999»
15 years 2 months ago
Robust Combining of Disparate Classifiers through Order Statistics
: Integrating the outputs of multiple classifiers via combiners or meta-learners has led to substantial improvements in several difficult pattern recognition problems. In this arti...
Kagan Tumer, Joydeep Ghosh
96
Voted
JCP
2006
78views more  JCP 2006»
15 years 2 months ago
Parameter Optimization of Kernel-based One-class Classifier on Imbalance Learning
Compared with conventional two-class learning schemes, one-class classification simply uses a single class in the classifier training phase. Applying one-class classification to le...
Ling Zhuang, Honghua Dai
126
Voted
COLING
2002
15 years 2 months ago
Efficient Support Vector Classifiers for Named Entity Recognition
Named Entity (NE) recognition is a task in which proper nouns and numerical information are extracted from documents and are classified into categories such as person, organizatio...
Hideki Isozaki, Hideto Kazawa