Learning by Extrapolation From Marginal to Full-Multivariate Probability Distributions: Decreasingly Naive Bayesian Classification

Machine Learning - Netherlands
doi 10.1007/s10994-011-5263-6
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

Bayesian Prediction Under a Class of Multivariate Distributions

Arabian Journal of Mathematics
Mathematics
2012English

Gaussian Naive Bayesian Data Classification Model Based on Clustering Algorithm

2019English

Sparse Bayesian Approach to Fast Learning Network for Multi-Classification

Turkish Journal of Electrical Engineering and Computer Sciences
Electronic EngineeringElectricalComputer Science
2019English

Probability Learning to Escape From Shock

Psychonomic Science
1965English

Naive Bayesian Fusion for Action Recognition From Kinect

2017English

Publishing Naive Bayesian Classifiers

Proceedings of the VLDB Endowment
Computer Science
2009English

Deriving Prior Distributions for Bayesian Models Used to Achieve Adaptive E-Learning

Knowledge Management and E-Learning
E-learningEducationManagement of TechnologyInnovation
2011English

MDL, Bayesian Inference, and the Geometry of the Space of Probability Distributions

2005English

Information Theoretic Measures of Dependence, Compactness, and Non-Gaussianity for Multivariate Probability Distributions

Nonlinear Processes in Geophysics
PetrologyNonlinear PhysicsGeochemistryGeophysicsStatistical
2009English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy