Advanced search ?

Object

Download

Title: The Learning System by the Least Squares Support Vector Machine Method and its Application in Medicine, Journal of Telecommunications and Information Technology, 2011, nr 3

Creator:

Baszun, Mikołaj ; Szewczyk, Paweł

Date:

2011, nr 3

Resource Type:

artykuł

Description:

In the paper it has been presented the possibility of using the least squares support vector machine to the initial diagnosis of patients. In order to find some optimal parameters making the work of the algorithm more detailed, the following techniques have been used: K-fold Cross Validation, Grid-Search, Particle Swarm Optimization. The result of the classification has been checked by some labels assigned by an expert. The created system has been tested on the artificially made data and the data taken from the real database. The results of the computer simulations have been presented in two forms: numerical and graphic. All the algorithms have been implemented in the C# language.

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy, Warszawa

Format:

application/pdf

Resource Identifier:

oai:bc.itl.waw.pl:1189 ; ISSN 1509-4553, on-line: ISSN 1899-8852

DOI:

10.26636/jtit.2011.3.1165

ISSN:

1509-4553

eISSN:

1899-8852

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

classification Support Vector Machine Grid-Search Particle Swarm Optimization patients diagnosis

Object collections:

Last modified:

Aug 29, 2024

In our library since:

May 15, 2013

Number of object content hits:

113

All available object's versions:

https://ribes-54.man.poznan.pl/publication/1494

Show description in RDF format:

RDF

Show description in OAI-PMH format:

OAI-PMH

Edition name Date
Szewczyk, Paweł; Baszun, Mikołaj, 2011, nr 3, The Learning System by the Least Squares Support Vector Machine Method and its Application in Medicine, Journal of Telecommunications and Information Technology, 2011, nr 3 Aug 29, 2024

Objects Similar
Comparative Study of Supervised Learning Methods for Malware Analysis, Journal of Telecommunications and Information Technology, 2014, nr 4

Niewiadomska-Szynkiewicz, Ewa Kruczkowski, Michał

2014, nr 4
artykuł
Support Vector Machine based Decoding Algorithm for BCH Codes, Journal of Telecommunications and Information Technology, 2016, nr 2

Sudharsan, V. Yamuna, B.

2016, nr 2
artykuł
Design of a Superconducting Antenna Integrated with a Diplexer for Radio-Astronomy Applications, Journal of Telecommunications and Information Technology, 2014, nr 3

Donelli, Massimo Febvre, Pascal

2014, nr 3
artykuł
Performance Comparison of Optimization Methods for Flat-Top Sector Beamforming in a Cellular Network, Journal of Telecommunications and Information Technology, 2022, nr 3

Roy, Jibendu Sekhar Nandi, Pampa

2022, nr 3
artykuł
2023, nr 4, JTIT-artykuły
2023, nr 4, JTIT-artykuły
Designing Smart Antennas Using Machine Learning Algorithms, Journal of Telecommunications and Information Technology, 2023, nr 4

Samantaray, Barsa Das, Kunal Kumar Roy, Jibendu Sekhar

2023
artykuł
An Eclectic Approach to Network Service Failure Detection Based on Multicriteria Analysis with an Exampleof Mixing Probabilistic Context Free Grammar Models, Journal of Telekommunications and Information Technology, 2008, nr 4

Białoń, Paweł

2008, nr 4
artykuł
Application of Social Network Inferred Data to Churn Modeling in Telecoms, Journal of Telecommunications and Information Technology, 2016, nr 2

Arabas, Piotr Gruszczyński, Witold

2016, nr 2
artykuł
Effectiveness of active forgetting in machine learning applied to financial problems, Journal of Telecommunications and Information Technology, 2002, nr 3

Yoshii, Kengo Nakayama, Hirotaka

2002, nr 3
artykuł
More
×

Citation

Citation style:

Contact details

Address

Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

Phone

(+48) 5128 696

E-Mail

biblioteka@il-pib.pl

Visit us!

This page uses 'cookies'. More information