Adaptive learning algorithms for Bayesian network classifiers

CastilloGladys

ScienceGate Book Chapters

JOURNAL ARTICLE

Adaptive learning algorithms for Bayesian network classifiers

CastilloGladys

Year: 2008 Journal: AI Communications Publisher: IOS Press

Get Full-Text PDF Get Analytical Report

Abstract

This thesis is concerned with adaptive learning algorithms for Bayesian network classifiers (BNCs) in a prequential (on-line) learning scenario capable of handling the cost-performance trade-off an...

Keywords:

Computer science Artificial intelligence Bayesian network Machine learning Bayesian probability Algorithm

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.34

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Adaptive learning algorithms for Bayesian network classifiers

Abstract

Metrics

Topics

Related Documents

Adaptive Bayesian network classifiers

Adaptive Bayesian network classifiers

Learning Bayesian Belief Network Classifiers: Algorithms and System

An Adaptive Prequential Learning Framework for Bayesian Network Classifiers

Learning Bayesian Classifiers from Dependency Network Classifiers