Algebraic representation of generative classifier

Varando, Gherardo and Riccomagno, Eva (2017). Algebraic representation of generative classifier. In: "First Italian Meeting on Probability and Mathematical Statistics", 19-22 Jun 2017, Turín. p. 1.

Description

Title: Algebraic representation of generative classifier
Author/s:
  • Varando, Gherardo
  • Riccomagno, Eva
Item Type: Presentation at Congress or Conference (Other)
Event Title: First Italian Meeting on Probability and Mathematical Statistics
Event Dates: 19-22 Jun 2017
Event Location: Turín
Title of Book: First Italian Meeting on Probability and MathematicalStatisticsTorino, 19-22/6/2017: book of abstracts
Date: 2017
Subjects:
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

We study the discrimination functions associated with classifiers induced by probabilistic graphical models and in particular Bayesian network classifiers. For every G -Markov probabilistic classifier we link the topology of the graph G with the class of discrimination functions induced, we prove that every conditional independence statement satisfied by the model implies linear constrains on the discrimination function. As an example we study the Naive Bayes model for two binary predictor variables and we formulate some questions for future work.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainC080020-09UnspecifiedUniversidad Politécnica de MadridCajal Blue Brain

More information

Item ID: 51136
DC Identifier: http://oa.upm.es/51136/
OAI Identifier: oai:oa.upm.es:51136
Official URL: http://calvino.polito.it/~probstat/torino2017/index.html
Deposited by: Memoria Investigacion
Deposited on: 05 Feb 2019 10:06
Last Modified: 05 Feb 2019 10:06
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