Variational inference for semiparametric Bayesian novelty detection in large datasets
type: Item
instance of: scholarly article
title: Variational inference for semiparametric Bayesian novelty detection in large datasets
author: Luca Benedetti
author: Eric Boniardi
author: Leonardo Chiani
author: Jacopo Ghirri
author: Marta Mastropietro
author: Andrea Cappozzo
author: Francesco D'Angelo
published in: Advances in Data Analysis and Classification. ADAC
publication date: 2024-12-16T00:00:00Z
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 68T09
zbMATH DE Number: 7958420
zbMATH Keywords: novelty detection
zbMATH Keywords: Dirichlet process
zbMATH Keywords: variational inference
zbMATH Keywords: large datasets
zbMATH Keywords: nested mixtures
zbMATH Keywords: Bayesian modeling
MaRDI profile type: Publication
cites work: Stratified Stochastic Variational Inference for High-Dimensional Network Factor Model
cites work: Variational inference for Dirichlet process mixtures
cites work: The minimum regularized covariance determinant estimator
cites work: Adaptive mixture discriminant analysis for supervised learning with unobserved classes
cites work: Anomaly and novelty detection for robust semi-supervised learning
cites work: A two-stage Bayesian semiparametric model for novelty detection with robust prior information
cites work: Bayesian Density Estimation and Inference Using Mixtures
cites work: A Bayesian analysis of some nonparametric problems
cites work: Unobserved classes and extra variables in high-dimensional discriminant analysis
cites work: A Method for Comparing Two Hierarchical Clusterings
cites work: Q3096207
cites work: Minimum covariance determinant and extensions
cites work: An introduction to variational methods for graphical models
cites work: Slice sampling mixture models
cites work: Novelty detection: a review. I. Statistical approaches
cites work: Novelty detection: a review. II. Neural network based approaches
cites work: Explaining Variational Approximations
cites work: Variational Bayes for High-Dimensional Linear Regression With Sparse Priors
cites work: An enriched mixture model for functional clustering
cites work: Q4839399
DOI: 10.1007/S11634-023-00569-Z
description: scientific article; zbMATH DE number 7958420