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100%: Verónica Bolón-Canedo; Amparo Alonso-Betanzos: Recent Advances in Ensembles for Feature Selection (ISBN: 9783319900803) 2018, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
100%: Verónica Bolón-Canedo, Mitwirkende: Amparo Alonso-Betanzos: Recent Advances in Ensembles for Feature Selection (Intelligent Systems Reference Library) (ISBN: 9783030079291) 2019, in Englisch, Taschenbuch.Nur diese Ausgabe anzeigen…
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Bester Preis: Fr. 4.88 (€ 4.99)¹ (vom 05.09.2019)1
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Recent Advances in Ensembles for Feature Selection (2019)
DE NW RPISBN: 9783030079291 bzw. 3030079295, in Deutsch, Springer, neu, Nachdruck.
Von Händler/Antiquariat, Paperbackshop-US [8408184], Wood Dale, IL, U.S.A.
New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
2
Recent Advances in Ensembles for Feature Selection
~EN NW EB DLISBN: 9783319900803 bzw. 3319900803, vermutlich in Englisch, Springer Shop, neu, E-Book, elektronischer Download.
Lieferung aus: Japan, Lagernd, zzgl. Versandkosten.
This book offers a comprehensive overview of ensemble learning in the field of feature selection (FS), which consists of combining the output of multiple methods to obtain better results than any single method. It reviews various techniques for combining partial results, measuring diversity and evaluating ensemble performance. With the advent of Big Data, feature selection (FS) has become more necessary than ever to achieve dimensionality reduction. With so many methods available, it is difficult to choose the most appropriate one for a given setting, thus making the ensemble paradigm an interesting alternative. The authors first focus on the foundations of ensemble learning and classical approaches, before diving into the specific aspects of ensembles for FS, such as combining partial results, measuring diversity and evaluating ensemble performance. Lastly, the book shows examples of successful applications of ensembles for FS and introduces the new challenges that researchers now face. As such, the book offers a valuable guide for all practitioners, researchers and graduate students in the areas of machine learning and data mining. eBook.
This book offers a comprehensive overview of ensemble learning in the field of feature selection (FS), which consists of combining the output of multiple methods to obtain better results than any single method. It reviews various techniques for combining partial results, measuring diversity and evaluating ensemble performance. With the advent of Big Data, feature selection (FS) has become more necessary than ever to achieve dimensionality reduction. With so many methods available, it is difficult to choose the most appropriate one for a given setting, thus making the ensemble paradigm an interesting alternative. The authors first focus on the foundations of ensemble learning and classical approaches, before diving into the specific aspects of ensembles for FS, such as combining partial results, measuring diversity and evaluating ensemble performance. Lastly, the book shows examples of successful applications of ensembles for FS and introduces the new challenges that researchers now face. As such, the book offers a valuable guide for all practitioners, researchers and graduate students in the areas of machine learning and data mining. eBook.
3
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Recent Advances in Ensembles for Feature Selection (2019)
DE NW RPISBN: 9783030079291 bzw. 3030079295, in Deutsch, Springer, neu, Nachdruck.
Von Händler/Antiquariat, Books2Anywhere [190245], Fairford, GLOS, United Kingdom.
New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
4
Recent Advances in Ensembles for Feature Selection (2018)
EN NW EB DLISBN: 9783319900803 bzw. 3319900803, in Englisch, Springer, Springer, Springer, neu, E-Book, elektronischer Download.
Lieferung aus: Australien, in-stock.
This book offers a comprehensive overview of ensemble learning in the field of feature selection (FS), which consists of combining the output of multiple methods to obtain better results than any single method. It reviews various techniques for co.
This book offers a comprehensive overview of ensemble learning in the field of feature selection (FS), which consists of combining the output of multiple methods to obtain better results than any single method. It reviews various techniques for co.
5
Recent Advances in Ensembles for Feature Selection
~EN NW EB DLISBN: 9783319900803 bzw. 3319900803, vermutlich in Englisch, Springer International Publishing, neu, E-Book, elektronischer Download.
Lieferung aus: Deutschland, Versandkostenfrei.
Recent Advances in Ensembles for Feature Selection: This book offers a comprehensive overview of ensemble learning in the field of feature selection (FS), which consists of combining the output of multiple methods to obtain better results than any single method. It reviews various techniques for combining partial results, measuring diversity and evaluating ensemble performance. Englisch, Ebook.
Recent Advances in Ensembles for Feature Selection: This book offers a comprehensive overview of ensemble learning in the field of feature selection (FS), which consists of combining the output of multiple methods to obtain better results than any single method. It reviews various techniques for combining partial results, measuring diversity and evaluating ensemble performance. Englisch, Ebook.
6
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Recent Advances in Ensembles for Feature Selection (Paperback) (2019)
DE PB NWISBN: 9783030079291 bzw. 3030079295, in Deutsch, Springer Nature Customer Service Center Gmbh, United States, Taschenbuch, neu.
Von Händler/Antiquariat, The Book Depository EURO [60485773], London, United Kingdom.
Language: English. Brand new Book.
Language: English. Brand new Book.
7
Recent Advances in Ensembles for Feature Selection (Intelligent Systems Reference Library) (2019)
EN PB NWISBN: 9783030079291 bzw. 3030079295, in Englisch, 220 Seiten, Springer, Taschenbuch, neu.
Lieferung aus: Deutschland, Noch nicht erschienen. Versandkostenfrei.
Von Händler/Antiquariat, Amazon.de.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, Amazon.de.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
8
Recent Advances in Ensembles for Feature Selection
DE NW EBISBN: 9783319900803 bzw. 3319900803, in Deutsch, Springer Nature, neu, E-Book.
Lieferung aus: Vereinigte Staaten von Amerika, Lagernd.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
9
Recent Advances in Ensembles for Feature Selection
DE PB NWISBN: 9783030079291 bzw. 3030079295, in Deutsch, Springer Nature Customer Service Center Gmbh, Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Lagernd, zzgl. Versandkosten.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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