Kernel mixture model for probability density estimation in Bayesian classifiers
type: Item
instance of: scholarly article
title: Kernel mixture model for probability density estimation in Bayesian classifiers
zbMATH Open document ID: 1416.62369
author: Zhenjiang Zhang
author: Han-Chieh Chao
author: Fan-Hsun Tseng
author: Wen-Yu Zhang
published in: Data Mining and Knowledge Discovery
publication date: 2019-05-03T00:00:00Z
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62G07
zbMATH DE Number: 7050697
zbMATH Keywords: kernel mixture model
zbMATH Keywords: probability density estimation
zbMATH Keywords: Bayesian classifier
zbMATH Keywords: clustering
describes a project that uses: pyMEF
describes a project that uses: HandTill2001
describes a project that uses: BNT
MaRDI profile type: Publication
full work available at URL: s10618-018-0550-5
OpenAlex ID: W2792551126
cites work: Discrete Bayesian Network Classifiers
cites work: Q3125591
cites work: Approximating discrete probability distributions with dependence trees
cites work: Q4727203
cites work: On the optimality of the simple Bayesian classifier under zero-one loss
cites work: Pattern classification.
cites work: Bayesian Density Estimation and Inference Using Mixtures
cites work: Bayesian network classifiers
cites work: A simple generalisation of the area under the ROC curve for multiple class classification problems
cites work: Q4832006
cites work: Learning Bayesian networks: The combination of knowledge and statistical data
cites work: The accuracy and the computational complexity of a multivariate binned kernel density estima\-tor.
cites work: Using Conditional Kernel Density Estimation for Wind Power Density Forecasting
cites work: Unsupervised Amplitude and Texture Classification of SAR Images With Multinomial Latent Model
cites work: Bayesian classifiers based on kernel density estimation: flexible classifiers
cites work: Learning Mixtures by Simplifying Kernel Density Estimators
cites work: Multivariate Density Estimation
cites work: Adaptive Bayesian multivariate density estimation with Dirichlet mixtures
cites work: Smoothing methods in statistics
cites work: Modeling and predicting opinion formation with trust propagation in online social networks
cites work: Discretization for Naive-Bayes learning: managing discretization bias and variance
DOI: 10.1007/S10618-018-0550-5
description: scientific article; zbMATH DE number 7050697