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In den WarenkorbZustand: New. KlappentextrnrnWe present a simple genetic algorithm (sGA), which is developed under Genetic Rule and Classifier Construction Environment (GRaCCE) to solve feature subset selection and weighting problem to have better classification accuracy on .
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Verlag: British Library, Historical Print Editions Nov 2012, 2012
ISBN 10: 128828165X ISBN 13: 9781288281657
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Taschenbuch. Zustand: Neu. Neuware - We present a simple genetic algorithm (sGA), which is developed under Genetic Rule and Classifier Construction Environment (GRaCCE) to solve feature subset selection and weighting problem to have better classification accuracy on k-nearest neighborhood (KNN) algorithm. Our hypotheses are that weighting the features will affect the performance of the KNN algorithm and will cause better classification accuracy rate than that of binary classification. The weighted-sGA algorithm uses real-value chromosomes to find the weights for features and binary-sGA uses integer-value chromosomes to select the subset of features from original feature set. Since we use real-value chromosomes for weighted-sGA, instead of using standard crossover and mutation operators, these GRaCCE sGA operators are modified to adjust them to the feature subset selection and weighting problem.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
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In den WarenkorbPaperback. Zustand: Brand New. 265 pages. 11.00x8.50x0.63 inches. In Stock.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2016
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Verlag: LAP LAMBERT Academic Publishing, 2010
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Taschenbuch. Zustand: Neu. Optimal Bands selection for Soil Classification and Moisture Mapping | Study of feature selection algorithms with application to soil classification and estimation of soil moisture | Sivasathivel Kandasamy (u. a.) | Taschenbuch | 80 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783843354943 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Verlag: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330020296 ISBN 13: 9783330020290
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Taschenbuch. Zustand: Neu. Algorithms for Prediction of Upper Body Power of Cross-Country Skiers | Prediction of Upper Body Power of Cross-Country Skiers Using Machine Learning Methods Combined With Feature Selection | Mustafa Mikail Özçilo¿lu (u. a.) | Taschenbuch | 100 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330020290 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Verlag: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200785260 ISBN 13: 9786200785268
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Taschenbuch. Zustand: Neu. Document Classification Algorithms | And Feature Selection Techniques with the Practical Test | Esraa Hussein (u. a.) | Taschenbuch | 128 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200785268 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Verlag: LAP LAMBERT Academic Publishing, 2016
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Verlag: LAP LAMBERT Academic Publishing, 2016
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Taschenbuch. Zustand: Neu. Computational Intelligence Modeling of Pharmaceutical Roll Compaction | Bio-inspired optimization algorithms for feature selection | Hossam M. Zawbaa | Taschenbuch | 200 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659908255 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Taschenbuch. Zustand: Neu. Feature Selection for Anomaly Detection in Hyperspectral Data | Algorithms, Methods, and Applications | Songyot Nakariyakul | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639168280 | Verantwortliche Person für die EU: VDM Verlag Dr. Müller, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
Taschenbuch. Zustand: Neu. A New Host-Based Hybrid IDS Architecture - A Mind Of Its Own | The Know-how Of Host-Based Hybrid Intrusion Detection System Architecture Using Machine Learning Algorithms With Feature Selection | Murat Topallar | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639172881 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Taschenbuch. Zustand: Neu. Modern Data Mining Algorithms in C++ and CUDA C | Recent Developments in Feature Extraction and Selection Algorithms for Data Science | Timothy Masters | Taschenbuch | ix | Englisch | 2020 | Apress | EAN 9781484259870 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Verlag: LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208432391 ISBN 13: 9786208432393
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Taschenbuch. Zustand: Neu. Medical Data Mining and Bioinformatics | SWARM INTELLIGENCE BASED FEATURE SELECTION ALGORITHMS AND CLASSIFIERS FOR GASTRIC CANCER PREDICTION | Thara L | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208432393 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.