Log in to save to my catalogue

Local Probabilistic Model for Bayesian Classification: a Generalized Local Classification Model

Local Probabilistic Model for Bayesian Classification: a Generalized Local Classification Model

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2156285982

Local Probabilistic Model for Bayesian Classification: a Generalized Local Classification Model

About this item

Full title

Local Probabilistic Model for Bayesian Classification: a Generalized Local Classification Model

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2018-12

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

In Bayesian classification, it is important to establish a probabilistic model for each class for likelihood estimation. Most of the previous methods modeled the probability distribution in the whole sample space. However, real-world problems are usually too complex to model in the whole sample space; some fundamental assumptions are required to si...

Alternative Titles

Full title

Local Probabilistic Model for Bayesian Classification: a Generalized Local Classification Model

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2156285982

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2156285982

Other Identifiers

E-ISSN

2331-8422

How to access this item