Find all needed information about Decompositional Rule Extraction From Support Vector Machines By Active Learning. Below you can see links where you can find everything you want to know about Decompositional Rule Extraction From Support Vector Machines By Active Learning.
https://ieeexplore.ieee.org/document/4564457/
Decompositional Rule Extraction from Support Vector Machines by Active Learning Abstract: Support vector machines (SVMs) are currently state-of-the-art for the classification task and, generally speaking, exhibit good predictive performance due to their ability to model nonlinearities. However, their strength is also their main weakness, as the ...Cited by: 153
https://www.researchgate.net/publication/224320590_Decompositional_Rule_Extraction_from_Support_Vector_Machines_by_Active_Learning
Decompositional Rule Extraction from Support Vector Machines by Active Learning Article in IEEE Transactions on Knowledge and Data Engineering 21(2):178 - 191 · March 2009 with 70 Reads
https://biblio.ugent.be/publication/908700
Martens, David, Bart Baesens, and Tony Van Gestel. “Decompositional Rule Extraction from Support Vector Machines by Active Learning.” IEEE Transactions on Knowledge and Data Engineering 21.2 (2009): 178–191. Print.
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.467.6341
BibTeX @ARTICLE{Martens09decompositionalrule, author = {David Martens and Johan Huysmans and Rudy Setiono and Jan Vanthienen and Bart Baesens}, title = {Decompositional rule extraction from support vector machines by active learning}, journal = {IEEE Transactions on Knowledge and Data Engineering}, year = {2009}, pages = {178--191}}
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000004564457
Support vector machines (SVMs) are currently state-of-the-art for the classification task and, generally speaking, exhibit good predictive performance due to their ability to model nonlinearities. However, their strength is also their main weakness, as the generated nonlinear models are typically regarded as incomprehensible black-box models. In this paper, we propose a new active learning ...Cited by: 153
https://dl.acm.org/citation.cfm?id=1893949
Rule extraction from support vector machine using modified active learning based approach: an application to CRM. Authors: M. A. H. Farquad: Institute for Development and Research in banking Technology, Hyderabad, AP, India and Department of Computer & Information Sciences, University of Hyderabad, Hyderabad, AP, India:Cited by: 7
https://www.researchgate.net/publication/221021125_Rule_Extraction_from_Support_Vector_Machine_Using_Modified_Active_Learning_Based_Approach_An_Application_to_CRM
Rule Extraction from Support Vector Machine Using Modified Active Learning Based Approach: An Application to CRM Conference Paper · September 2010 with 46 Reads How we measure 'reads'
http://citeseerx.ist.psu.edu/showciting?cid=304216
Decompositional rule extraction from support vector machines by active learning by David Martens, Johan Huysmans, Rudy Setiono, Jan Vanthienen, Bart Baesens - IEEE Transactions on Knowledge and Data Engineering , 2009
https://www.sciencedirect.com/science/article/pii/S0377221706011878
Dec 16, 2007 · Comprehensible credit scoring models using rule extraction from support vector machines. ... Pedagogical (a) and decompositional (b) rule extraction technique. ... This process is often referred to as active learning.Cited by: 429
https://www.thefreedictionary.com/decompositional
Define decompositional. decompositional synonyms, decompositional pronunciation, decompositional translation, English dictionary definition of decompositional. ... rule extraction algorithms belong to three categories ... "Decompositional rule extraction from support vector machines by active learning", IEEE Transactions on Know edge and Data ...
Need to find Decompositional Rule Extraction From Support Vector Machines By Active Learning information?
To find needed information please read the text beloow. If you need to know more you can click on the links to visit sites with more detailed data.
