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Citation

Jan Zelinka and Jan Romportl and Luděk Müller : A Priori and A Posteriori Machine Learning and Nonlinear Artificial Neural Networks . Lecture Notes in Artificial Intelligence, vol. 6231, p. 472-479, Springer, Heidelberg, 2010.

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Abstract

The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself.We call it "a priori" because the processed data set does not originate from any measurement or other observation.Machine learning which deals with any observation is called "posterior". The paper describes how posterior machine learning can be modified by a priori machine learning. A priori and posterior machine learning algorithms are proposed for artificial neural network training and are tested in the task of audio-visual phoneme classification.

Detail of publication

Title: A Priori and A Posteriori Machine Learning and Nonlinear Artificial Neural Networks
Author: Jan Zelinka ; Jan Romportl ; Luděk Müller
Language: English
Date of publication: 1 Sep 2010
Year: 2010
Type of publication: Papers in journals
Title of journal or book: Lecture Notes in Artificial Intelligence
Číslo vydání: 6231
Page: 472 - 479
ISSN: 0302-9743
Publisher: Springer
Address: Heidelberg
/ 2011-01-30 16:59:45 /

Keywords

ANN, Machine Learning

BibTeX

@ARTICLE{JanZelinka_2010_APrioriandA,
 author = {Jan Zelinka and Jan Romportl and Lud\v{e}k M\"{u}ller},
 title = {A Priori and A Posteriori Machine Learning and Nonlinear Artificial Neural Networks},
 year = {2010},
 publisher = {Springer},
 journal = {Lecture Notes in Artificial Intelligence},
 address = {Heidelberg},
 volume = {6231},
 pages = {472-479},
 ISSN = {0302-9743},
 url = {http://www.kky.zcu.cz/en/publications/JanZelinka_2010_APrioriandA},
}