THE HOTELLING?S TWO-SAMPLE T2 ALGORITHM: STATISTICAL CLASSIFIER: CASE STUDY OF THE HOTELLING?S TWO-SAMPLE T2 ALGORITHM IN THE PRESENCE OF NOISE - Couverture souple

Name: THE HOTELLING?S TWO-SAMPLE T2 ALGORITHM: STATISTICAL CLASSIFIER: CASE STUDY OF THE HOTELLING?S TWO-SAMPLE T2 ALGORITHM IN THE PRESENCE OF NOISE
Author: Saparkhojayev, Nurbek
ISBN: 9783838326542

Saparkhojayev, Nurbek

9783838326542: THE HOTELLING?S TWO-SAMPLE T2 ALGORITHM: STATISTICAL CLASSIFIER: CASE STUDY OF THE HOTELLING?S TWO-SAMPLE T2 ALGORITHM IN THE PRESENCE OF NOISE

Couverture souple

ISBN 10 : 3838326547 ISBN 13 : 9783838326542

Editeur : LAP Lambert Academic Publishing, 2010

Afficher les exemplaires de cette �dition comportant l'ISBN

0 D'occasion

7 Neuf

De EUR 49

Matching algorithms or classifiers determine if a previously enrolled instance matches an observed instance based on some rules. They return a decision, which consists of three possible answers: match, non-match, and unclassified. A classifier assigns a class label to a sample and then checks the new instance with a sample one. Or, the classifier is trained with example instances so that it learns what class label should be applied to future unknown instances. Classifiers are based on statistical, probabilistic, and decision rules. In applying classifiers, the most important issue is finding the matching rates. Two important rates are the false acceptance rate (FAR) and the false rejection rate (FRR). In this work, we determine the FAR and FRR for the Hotelling?s two-sample T2 algorithm applied to the application of matching electronic fingerprints of radio frequency identification (RFID) tags in the presence of simulated noise. The algorithm is found to be a robust classifier for this application.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: LAP Lambert Academic Publishing
Date d'�dition: 2010
Langue: anglais
ISBN 10: 3838326547
ISBN 13: 9783838326542
Reliure: Broch�
Nombre de pages: 80
Coordonn�es du fabricant: non disponible
Personne responsable: KreGa Onlinehandel GmbH
4950000000000
info@krega-onlinehandel.de

Birkenweg 31
Brakel
33034
Allemagne

R�sultats de recherche pour THE HOTELLING?S TWO-SAMPLE T2 ALGORITHM: STATISTICAL...

Image fournie par le vendeur

THE HOTELLING''S TWO-SAMPLE T2 ALGORITHM

Nurbek Saparkhojayev

Edit� par LAP LAMBERT Academic Publishing Sep 2010, 2010

ISBN 10 : 3838326547 ISBN 13 : 9783838326542

Neuf Taschenbuch

impression � la demande

Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Matching algorithms or classifiers determine if a previously enrolled instance matches an observed instance based on some rules. They return a decision, which consists of three possible answers: match, non-match, and unclassified. A classifier assigns a class label to a sample and then checks the new instance with a sample one. Or, the classifier is trained with example instances so that it learns what class label should be applied to future unknown instances. Classifiers are based on statistical, probabilistic, and decision rules. In applying classifiers, the most important issue is finding the matching rates. Two important rates are the false acceptance rate (FAR) and the false rejection rate (FRR). In this work, we determine the FAR and FRR for the Hotelling s two-sample T2 algorithm applied to the application of matching electronic fingerprints of radio frequency identification (RFID) tags in the presence of simulated noise. The algorithm is found to be a robust classifier for this application. 80 pp. Englisch. N� de r�f. du vendeur 9783838326542

Contacter le vendeur

Acheter neuf

EUR 49

Exp�dition �EUR 23
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : 2 disponible(s)

Ajouter au panier

Image fournie par le vendeur

THE HOTELLING''S TWO-SAMPLE T2 ALGORITHM : STATISTICAL CLASSIFIER: CASE STUDY OF THE HOTELLING''S TWO-SAMPLE T2 ALGORITHM IN THE PRESENCE OF NOISE

Nurbek Saparkhojayev

Edit� par LAP LAMBERT Academic Publishing, 2010

ISBN 10 : 3838326547 ISBN 13 : 9783838326542

Neuf Taschenbuch

impression � la demande

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Matching algorithms or classifiers determine if a previously enrolled instance matches an observed instance based on some rules. They return a decision, which consists of three possible answers: match, non-match, and unclassified. A classifier assigns a class label to a sample and then checks the new instance with a sample one. Or, the classifier is trained with example instances so that it learns what class label should be applied to future unknown instances. Classifiers are based on statistical, probabilistic, and decision rules. In applying classifiers, the most important issue is finding the matching rates. Two important rates are the false acceptance rate (FAR) and the false rejection rate (FRR). In this work, we determine the FAR and FRR for the Hotelling s two-sample T2 algorithm applied to the application of matching electronic fingerprints of radio frequency identification (RFID) tags in the presence of simulated noise. The algorithm is found to be a robust classifier for this application. N� de r�f. du vendeur 9783838326542

Contacter le vendeur

Acheter neuf

EUR 54,71

Exp�dition �EUR 35
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : 1 disponible(s)

Ajouter au panier

Image fournie par le vendeur

THE HOTELLING S TWO-SAMPLE T2 ALGORITHM

Nurbek Saparkhojayev

Edit� par LAP LAMBERT Academic Publishing, 2010

ISBN 10 : 3838326547 ISBN 13 : 9783838326542

Neuf Couverture souple

impression � la demande

Vendeur : moluna, Greven, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Saparkhojayev NurbekNurbek P.Saparkhojayev, MS in CSCE: Studied Computer Science and Computer Engineering at University of Arkansas,Fayetteville, AR,USA. Ph.D student at L.N.Gumilyov Eurasian National University,Astana,Kazakhstan. N� de r�f. du vendeur 5413287

Contacter le vendeur

Acheter neuf

EUR 41,05

Exp�dition �EUR 48,99
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : Plus de 20 disponibles

Ajouter au panier

Image fournie par le vendeur

THE HOTELLING''S TWO-SAMPLE T2 ALGORITHM

Nurbek Saparkhojayev

Edit� par LAP LAMBERT Academic Publishing Sep 2010, 2010

ISBN 10 : 3838326547 ISBN 13 : 9783838326542

Neuf Taschenbuch

impression � la demande

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Matching algorithms or classifiers determine if a previously enrolled instance matches an observed instance based on some rules. They return a decision, which consists of three possible answers: match, non-match, and unclassified. A classifier assigns a class label to a sample and then checks the new instance with a sample one. Or, the classifier is trained with example instances so that it learns what class label should be applied to future unknown instances. Classifiers are based on statistical, probabilistic, and decision rules. In applying classifiers, the most important issue is finding the matching rates. Two important rates are the false acceptance rate (FAR) and the false rejection rate (FRR). In this work, we determine the FAR and FRR for the Hotelling''s two-sample T2 algorithm applied to the application of matching electronic fingerprints of radio frequency identification (RFID) tags in the presence of simulated noise. The algorithm is found to be a robust classifier for this application.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 80 pp. Englisch. N� de r�f. du vendeur 9783838326542

Contacter le vendeur