Kernel mixture model for probability density estimation in Bayesian classifiers
From MaRDI portal
Publication:1741388
DOI10.1007/s10618-018-0550-5zbMath1416.62369OpenAlexW2792551126MaRDI QIDQ1741388
Han-Chieh Chao, Zhenjiang Zhang, Fan-Hsun Tseng, Wen-Yu Zhang
Publication date: 3 May 2019
Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10618-018-0550-5
Density estimation (62G07) Classification and discrimination; cluster analysis (statistical aspects) (62H30)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Bayesian classifiers based on kernel density estimation: flexible classifiers
- Discretization for Naive-Bayes learning: managing discretization bias and variance
- On the optimality of the simple Bayesian classifier under zero-one loss
- Bayesian network classifiers
- Learning Bayesian networks: The combination of knowledge and statistical data
- Smoothing methods in statistics
- The accuracy and the computational complexity of a multivariate binned kernel density estima\-tor.
- Modeling and predicting opinion formation with trust propagation in online social networks
- Bayesian Density Estimation and Inference Using Mixtures
- Using Conditional Kernel Density Estimation for Wind Power Density Forecasting
- Discrete Bayesian Network Classifiers
- Multivariate Density Estimation
- Learning Mixtures by Simplifying Kernel Density Estimators
- Unsupervised Amplitude and Texture Classification of SAR Images With Multinomial Latent Model
- Adaptive Bayesian multivariate density estimation with Dirichlet mixtures
- Approximating discrete probability distributions with dependence trees
- A simple generalisation of the area under the ROC curve for multiple class classification problems
This page was built for publication: Kernel mixture model for probability density estimation in Bayesian classifiers