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  • Search: subject:"Feature subset"
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Year of publication
Subject
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Binary Genetic Algorithm 1 Binary Particle Swarm Optimization 1 Clinical Decision-making System 1 Evolutionary Algorithm 1 Evolutionary algorithm 1 Evolutionärer Algorithmus 1 Exchange rate 1 Exchange rates 1 Feature Subset Selection 1 Feature subset 1 Forecast combinations 1 Forecasting model 1 Genetic algorithms 1 Mustererkennung 1 Mutated Binary Particle Swarm Optimization 1 Pattern recognition 1 Prognoseverfahren 1 Regression analysis 1 Regressionsanalyse 1 Support vector regression 1 Theorie 1 Theory 1 Wechselkurs 1 credit scoring model 1 feature subset selection 1 heteroscedastic discriminant analysis 1 variable importance 1
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Online availability
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Free 1 Undetermined 1
Type of publication
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Article 3
Type of publication (narrower categories)
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Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 3
Author
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Fabian, Piotr 1 Karathanasopoulos, Andreas 1 Puyalnithi, Thendral 1 Sermpinis, Georgios 1 Smolarczyk, Tomasz 1 Stasinakis, Charalampos 1 Stąpor, Katarzyna 1 Theofilatos, Konstantinos 1 Vankadara, Madhuviswanatham 1
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Published in...
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European journal of operational research : EJOR 1 International Journal of Healthcare Information Systems and Informatics (IJHISI) 1 Statistics in Transition New Series 1
Source
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ECONIS (ZBW) 1 EconStor 1 Other ZBW resources 1
Showing 1 - 3 of 3
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HETEROSCEDASTIC DISCRIMINANT ANALYSIS COMBINED WITH FEATURE SELECTION FOR CREDIT SCORING
Stąpor, Katarzyna; Smolarczyk, Tomasz; Fabian, Piotr - In: Statistics in Transition New Series 17 (2016) 2, pp. 265-280
Persistent link: https://www.econbiz.de/10012141619
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A Unified Feature Selection Model for High Dimensional Clinical Data Using Mutated Binary Particle Swarm Optimization and Genetic Algorithm
Puyalnithi, Thendral; Vankadara, Madhuviswanatham - In: International Journal of Healthcare Information Systems … 13 (2018) 4, pp. 1-14
This article contends that feature selection is an important pre-processing step in case the data set is huge in size with many features. Once there are many features, then the probability of existence of noisy features is high which might bring down the efficiency of classifiers created out of...
Persistent link: https://www.econbiz.de/10012045229
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Modeling, forecasting and trading the EUR exchange rates with hybrid rolling genetic algorithms : support vector regression forecast combinations
Sermpinis, Georgios; Stasinakis, Charalampos; … - In: European journal of operational research : EJOR 247 (2015) 3, pp. 831-846
Persistent link: https://www.econbiz.de/10011386316
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