NDLI: Conditional probability density estimation using artificial neural network

Content Provider	IEEE Xplore Digital Library
Author	Kobyz, G.V. Zamyatin, A.V.
Copyright Year	2015
Description	Author affiliation: Dept. of Appl. Inf., Tomsk State Univ., Tomsk, Russia (Kobyz, G.V.; Zamyatin, A.V.)
Abstract	This paper provides a general introduction in the field of estimation of probability density function (pdf) of data using a neural network and proposes detailed research of instruments for data preprocessing. In the first section of the research we give a review of current methods and instruments to solve the problem of pdf estimation, highlight their advantages and disadvantages and explain our decision to conduct research in this field. In the second section firstly we describe the approach which was used for estimation of pdf using neural network and give a scheme of instrument for this. Secondly we give detailed information about parts of instrument. Improvement for data preprocessing which solves problem of near-zero values and increases accuracy of instrument was proposed in the second section. In the last section we give results of experiment which approves suggested improvement and the correctness of the approach. Many aspects of pdf estimation can be improved through mathematical and analysis work. Here we present general approach and improvement for data preprocessing.
Starting Page	441
Ending Page	445
File Size	330811
Page Count	5
File Format	PDF
ISBN	9781467368551
e-ISBN	9781467368568
DOI	10.1109/ICAICT.2015.7338597
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-14
Publisher Place	Russia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation Instruments Data preprocessing Estimation Probability density function Data prediction Data analytics Artificial neural network Biological neural networks
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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