Articoli correlati a Assessment of Classification Algorithms in Artificial...
Sinossi
In the area of artificial learners, not much research on the question of an appropriate description of artificial learner’s (empirical) performance has been conducted. The optimal solution of describing a learning problem would be a functional dependency between the data, the learning algorithm’s internal specifics and its performance. Unfortunately, a general, restrictions-free theory on performance of arbitrary artificial learners has not been developed yet. This work addresses the problem of measuring and observing the artificial learners, specifically the decision trees produced by the C4.5 algorithm. A procedure for measuring the learning progress, called adaptive incremental k-fold cross-validation is presented, together with other tools and techniques needed to observe artificial learners on their course of learning. Early observations can be used to forecast the future performance of a learner based on a small training sample.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
L'autore
Dr. Boštjan Brumen has obtained his PhD in Informatics in 2004. Since then he has worked in in several data-related international projects. His research interests include artificial intelligence, machine learning and learning progress. He is the author of several articles published in top journals, including Journal of Medical Internet Research.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per Assessment of Classification Algorithms in Artificial...
Immagini fornite dal venditore
Assessment of Classification Algorithms in Artificial Intelligence
Editore:
LAP LAMBERT Academic Publishing Jul 2014, 2014
ISBN 10: 3659562513
ISBN 13: 9783659562518
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the area of artificial learners, not much research on the question of an appropriate description of artificial learner's (empirical) performance has been conducted. The optimal solution of describing a learning problem would be a functional dependency between the data, the learning algorithm's internal specifics and its performance. Unfortunately, a general, restrictions-free theory on performance of arbitrary artificial learners has not been developed yet. This work addresses the problem of measuring and observing the artificial learners, specifically the decision trees produced by the C4.5 algorithm. A procedure for measuring the learning progress, called adaptive incremental k-fold cross-validation is presented, together with other tools and techniques needed to observe artificial learners on their course of learning. Early observations can be used to forecast the future performance of a learner based on a small training sample. 172 pp. Englisch. Codice articolo 9783659562518
Compra nuovo
EUR 71,90
Spedizione EUR 23,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 2 disponibili
Immagini fornite dal venditore
Assessment of Classification Algorithms in Artificial Intelligence
Editore:
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659562513
ISBN 13: 9783659562518
Nuovo
Brossura
Da: moluna, Greven, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo 5164938
Compra nuovo
EUR 58,12
Spedizione EUR 48,99
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Assessment of Classification Algorithms in Artificial Intelligence
Editore:
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10: 3659562513
ISBN 13: 9783659562518
Nuovo
Brossura
Da: Books Puddle, Woodside, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. pp. 172. Codice articolo 26128432546
Compra nuovo
EUR 114,09
Spedizione EUR 3,52
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 4 disponibili
Foto dell'editore
Assessment of Classification Algorithms in Artificial Intelligence
Editore:
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10: 3659562513
ISBN 13: 9783659562518
Nuovo
Brossura
Da: Majestic Books, Hounslow, Regno Unito
Valutazione del venditore 4 su 5 stelle
Condizione: New. Print on Demand pp. 172 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. Codice articolo 131073661
Compra nuovo
EUR 116,50
Spedizione EUR 7,61
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 4 disponibili
Foto dell'editore
Assessment of Classification Algorithms in Artificial Intelligence
Editore:
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10: 3659562513
ISBN 13: 9783659562518
Nuovo
Brossura
Da: Biblios, Frankfurt am main, HESSE, Germania
Valutazione del venditore 4 su 5 stelle
Condizione: New. PRINT ON DEMAND pp. 172. Codice articolo 18128432552
Compra nuovo
EUR 116,61
Spedizione EUR 9,95
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 4 disponibili
Immagini fornite dal venditore
Assessment of Classification Algorithms in Artificial Intelligence
Editore:
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659562513
ISBN 13: 9783659562518
Nuovo
Taschenbuch
Da: preigu, Osnabrück, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Assessment of Classification Algorithms in Artificial Intelligence | Bo¿tjan Brumen | Taschenbuch | 172 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659562518 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 105184314
Compra nuovo
EUR 61,05
Spedizione EUR 70,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 5 disponibili
Immagini fornite dal venditore
Assessment of Classification Algorithms in Artificial Intelligence
Editore:
LAP LAMBERT Academic Publishing Jul 2014, 2014
ISBN 10: 3659562513
ISBN 13: 9783659562518
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the area of artificial learners, not much research on the question of an appropriate description of artificial learner's (empirical) performance has been conducted. The optimal solution of describing a learning problem would be a functional dependency between the data, the learning algorithm's internal specifics and its performance. Unfortunately, a general, restrictions-free theory on performance of arbitrary artificial learners has not been developed yet. This work addresses the problem of measuring and observing the artificial learners, specifically the decision trees produced by the C4.5 algorithm. A procedure for measuring the learning progress, called adaptive incremental k-fold cross-validation is presented, together with other tools and techniques needed to observe artificial learners on their course of learning. Early observations can be used to forecast the future performance of a learner based on a small training sample.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 172 pp. Englisch. Codice articolo 9783659562518
Compra nuovo
EUR 71,90
Spedizione EUR 60,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Assessment of Classification Algorithms in Artificial Intelligence
Editore:
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659562513
ISBN 13: 9783659562518
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the area of artificial learners, not much research on the question of an appropriate description of artificial learner's (empirical) performance has been conducted. The optimal solution of describing a learning problem would be a functional dependency between the data, the learning algorithm's internal specifics and its performance. Unfortunately, a general, restrictions-free theory on performance of arbitrary artificial learners has not been developed yet. This work addresses the problem of measuring and observing the artificial learners, specifically the decision trees produced by the C4.5 algorithm. A procedure for measuring the learning progress, called adaptive incremental k-fold cross-validation is presented, together with other tools and techniques needed to observe artificial learners on their course of learning. Early observations can be used to forecast the future performance of a learner based on a small training sample. Codice articolo 9783659562518
Compra nuovo
EUR 71,90
Spedizione EUR 61,37
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili