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100%: Springer Berlin Heidelberg: Multiple Classifier Systems (ISBN: 9783540315780) 2005, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
100%: Sous la direction de: Nikunj C. Oza, Sous la direction de: Robi Polikar, Sous la direction de: Josef Kittler, Sous la direction de: Fabio Roli: Multiple Classifier Systems: 6th International Workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005, Proceedings (Lecture Notes in Computer Science . Vision, Pattern Recognition, and Graphics) (ISBN: 9783540263067) in Englisch, Taschenbuch.Nur diese Ausgabe anzeigen…
Multiple Classifier Systems - 13 Angebote vergleichen
| Preise | 2015 | 2019 | 2020 |
|---|---|---|---|
| Schnitt | € 101,42 | € 82,51 | € 88,67 |
| Nachfrage |
1
Multiple Classifier Systems: 6th International Workshop, MCS 2005, Seaside, Ca, USA, June 13-15, 2005, Proceedings (Paperback) (2005)
DE PB NW RPISBN: 9783540263067 bzw. 3540263063, in Deutsch, Springer-Verlag Berlin and Heidelberg GmbH Co. KG, Germany, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, The Book Depository EURO [60485773], London, United Kingdom.
Language: English Brand New Book ***** Print on Demand *****.The belief that a committee of people make better decisions than any individual is widely held and appreciated. We also understand that, for this to be true, the members of the committee have to be simultaneously competent and comp- mentary. This intuitive notion holds true for committees of data sources (such as sensors) and models (such as classi?ers). The substantial current research in the areas of data fusion and model fusion focuses on ensuring that the di?- ent sources provide useful information but nevertheless complement one another to yield better results than any source would on its own. During the 1990s, a variety of schemes in classi?er fusion, which is the focus of this workshop, were developed under many names in di?erent scienti?c communities such as machine learning, pattern recognition, neural networks, and statistics. The previous "ve workshops on Multiple Classi?er Systems (MCS) were themselves exercises in information fusion, with the goal of bringing the di?erent scienti?c commu- ties together, providing each other with di?erent perspectives on this fascinating topic, and aiding cross-fertilization of ideas. These "ve workshops achieved this goal, demonstrating signi" cant advances in the theory, algorithms, and appli- tions of multiple classi?er systems. Followingits?vepredecessorspublishedbySpringer,thisvolumecontainsthe proceedings of the 6th International Workshop on Multiple Classi?er Systems (MCS2005)heldattheEmbassySuitesinSeaside,California,USA,June13-15, 2005. Forty-two papers were selected by the Scienti?c Committee, and they were organized into the following sessions: Boosting, Combination Methods, Design of Ensembles, Performance Analysis, and Applications.
Language: English Brand New Book ***** Print on Demand *****.The belief that a committee of people make better decisions than any individual is widely held and appreciated. We also understand that, for this to be true, the members of the committee have to be simultaneously competent and comp- mentary. This intuitive notion holds true for committees of data sources (such as sensors) and models (such as classi?ers). The substantial current research in the areas of data fusion and model fusion focuses on ensuring that the di?- ent sources provide useful information but nevertheless complement one another to yield better results than any source would on its own. During the 1990s, a variety of schemes in classi?er fusion, which is the focus of this workshop, were developed under many names in di?erent scienti?c communities such as machine learning, pattern recognition, neural networks, and statistics. The previous "ve workshops on Multiple Classi?er Systems (MCS) were themselves exercises in information fusion, with the goal of bringing the di?erent scienti?c commu- ties together, providing each other with di?erent perspectives on this fascinating topic, and aiding cross-fertilization of ideas. These "ve workshops achieved this goal, demonstrating signi" cant advances in the theory, algorithms, and appli- tions of multiple classi?er systems. Followingits?vepredecessorspublishedbySpringer,thisvolumecontainsthe proceedings of the 6th International Workshop on Multiple Classi?er Systems (MCS2005)heldattheEmbassySuitesinSeaside,California,USA,June13-15, 2005. Forty-two papers were selected by the Scienti?c Committee, and they were organized into the following sessions: Boosting, Combination Methods, Design of Ensembles, Performance Analysis, and Applications.
2
Symbolbild
Multiple Classifier Systems
DE PB NWISBN: 9783540263067 bzw. 3540263063, in Deutsch, Springer, Berlin, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
buecher.de GmbH & Co. KG, [1].
The belief that a committee of people make better decisions than any individual is widely held and appreciated. We also understand that, for this to be true, the members of the committee have to be simultaneously competent and comp- mentary. This intuitive notion holds true for committees of data sources (such as sensors) and models (such as classi?ers). The substantial current research in the areas of data fusion and model fusion focuses on ensuring that the di?- ent sources provide useful information but nevertheless complement one another to yield better results than any source would on its own. During the 1990s, a variety of schemes in classi?er fusion, which is the focus of this workshop, were developed under many names in di?erent scienti?c communities such as machine learning, pattern recognition, neural networks, and statistics. The previous "ve workshops on Multiple Classi?er Systems (MCS) were themselves exercises in information fusion, with the goal of bringing the di?erent scienti?c commu- ties together, providing each other with di?erent perspectives on this fascinating topic, and aiding cross-fertilization of ideas. These "ve workshops achieved this goal, demonstrating signi?cant advances in the theory, algorithms, and appli- tions of multiple classi?er systems. Followingits?vepredecessorspublishedbySpringer,thisvolumecontainsthe proceedings of the 6th International Workshop on Multiple Classi?er Systems (MCS2005)heldattheEmbassySuitesinSeaside,California,USA,June13 15, 2005. Forty-two papers were selected by the Scienti?c Committee, and they were organized into the following sessions: Boosting, Combination Methods, Design of Ensembles, Performance Analysis, and Applications.2005. xii, 432 S. XII, 430 p. Also available online. 235 mmVersandfertig in 3-5 Tagen, Softcover.
buecher.de GmbH & Co. KG, [1].
The belief that a committee of people make better decisions than any individual is widely held and appreciated. We also understand that, for this to be true, the members of the committee have to be simultaneously competent and comp- mentary. This intuitive notion holds true for committees of data sources (such as sensors) and models (such as classi?ers). The substantial current research in the areas of data fusion and model fusion focuses on ensuring that the di?- ent sources provide useful information but nevertheless complement one another to yield better results than any source would on its own. During the 1990s, a variety of schemes in classi?er fusion, which is the focus of this workshop, were developed under many names in di?erent scienti?c communities such as machine learning, pattern recognition, neural networks, and statistics. The previous "ve workshops on Multiple Classi?er Systems (MCS) were themselves exercises in information fusion, with the goal of bringing the di?erent scienti?c commu- ties together, providing each other with di?erent perspectives on this fascinating topic, and aiding cross-fertilization of ideas. These "ve workshops achieved this goal, demonstrating signi?cant advances in the theory, algorithms, and appli- tions of multiple classi?er systems. Followingits?vepredecessorspublishedbySpringer,thisvolumecontainsthe proceedings of the 6th International Workshop on Multiple Classi?er Systems (MCS2005)heldattheEmbassySuitesinSeaside,California,USA,June13 15, 2005. Forty-two papers were selected by the Scienti?c Committee, and they were organized into the following sessions: Boosting, Combination Methods, Design of Ensembles, Performance Analysis, and Applications.2005. xii, 432 S. XII, 430 p. Also available online. 235 mmVersandfertig in 3-5 Tagen, Softcover.
3
Multiple Classifier Systems (2005)
EN NW EB DLISBN: 9783540315780 bzw. 3540315780, in Englisch, Springer, Berlin/Heidelberg, Deutschland, neu, E-Book, elektronischer Download.
Lieferung aus: Vereinigte Staaten von Amerika, Lagernd, zzgl. Versandkosten.
The belief that a committee of people make better decisions than any individual is widely held and appreciated. We also understand that, for this to be true, the members of the committee have to be simultaneously competent and comp- mentary. This intuitive notion holds true for committees of data sources (such as sensors) and models (such as classi?ers). The substantial current research in the areas of data fusion and model fusion focuses on ensuring that the di?- ent sources provide useful information but nevertheless complement one another to yield better results than any source would on its own. During the 1990s, a variety of schemes in classi?er fusion, which is the focus of this workshop, were developed under many names in di?erent scienti?c communities such as machine learning, pattern recognition, neural networks, and statistics. The previous "ve workshops on Multiple Classi?er Systems (MCS) were themselves exercises in information fusion, with the goal of bringing the di?erent scienti?c commu- ties together, providing each other with di?erent perspectives on this fascinating topic, and aiding cross-fertilization of ideas. These "ve workshops achieved this goal, demonstrating signi?cant advances in the theory, algorithms, and appli- tions of multiple classi?er systems. Followingits?vepredecessorspublishedbySpringer,thisvolumecontainsthe proceedings of the 6th International Workshop on Multiple Classi?er Systems (MCS2005)heldattheEmbassySuitesinSeaside,California,USA,June13–15, 2005. Forty-two papers were selected by the Scienti?c Committee, and they were organized into the following sessions: Boosting, Combination Methods, Design of Ensembles, Performance Analysis, and Applications.
The belief that a committee of people make better decisions than any individual is widely held and appreciated. We also understand that, for this to be true, the members of the committee have to be simultaneously competent and comp- mentary. This intuitive notion holds true for committees of data sources (such as sensors) and models (such as classi?ers). The substantial current research in the areas of data fusion and model fusion focuses on ensuring that the di?- ent sources provide useful information but nevertheless complement one another to yield better results than any source would on its own. During the 1990s, a variety of schemes in classi?er fusion, which is the focus of this workshop, were developed under many names in di?erent scienti?c communities such as machine learning, pattern recognition, neural networks, and statistics. The previous "ve workshops on Multiple Classi?er Systems (MCS) were themselves exercises in information fusion, with the goal of bringing the di?erent scienti?c commu- ties together, providing each other with di?erent perspectives on this fascinating topic, and aiding cross-fertilization of ideas. These "ve workshops achieved this goal, demonstrating signi?cant advances in the theory, algorithms, and appli- tions of multiple classi?er systems. Followingits?vepredecessorspublishedbySpringer,thisvolumecontainsthe proceedings of the 6th International Workshop on Multiple Classi?er Systems (MCS2005)heldattheEmbassySuitesinSeaside,California,USA,June13–15, 2005. Forty-two papers were selected by the Scienti?c Committee, and they were organized into the following sessions: Boosting, Combination Methods, Design of Ensembles, Performance Analysis, and Applications.
4
Multiple Classifier Systems: 6th International Workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005, Proceedings (Lecture Notes in Computer Science . Vision, Pattern Recognition, and Graphics)
DE PB NWISBN: 9783540263067 bzw. 3540263063, in Deutsch, Springer, Taschenbuch, neu.
Von Händler/Antiquariat, BookSelectionOZ [61235538], Craigieburn, VIC, Australia.
3540263063 Brand New Book In Bubble Wrap Packing .We Ship to Worldwide.We don't ship to PO Box address.
3540263063 Brand New Book In Bubble Wrap Packing .We Ship to Worldwide.We don't ship to PO Box address.
5
Multiple Classifier Systems: 6th International Workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005, Proceedings (Lecture Notes in Computer Science . Vision, Pattern Recognition, and Graphics)
DE PB USISBN: 9783540263067 bzw. 3540263063, in Deutsch, Springer, Taschenbuch, gebraucht.
Von Händler/Antiquariat, Crashing Rocks Books [55397785], Punta Gorda, FL, U.S.A.
3540263063 USED BOOK in good condition| No supplements| Normal wear to cover, edges, spine, corners, and pages | Writing / highlighting | Inventory stickers | Satisfaction guaranteed!
3540263063 USED BOOK in good condition| No supplements| Normal wear to cover, edges, spine, corners, and pages | Writing / highlighting | Inventory stickers | Satisfaction guaranteed!
6
Multiple Classifier Systems
DE NWISBN: 9783540315780 bzw. 3540315780, in Deutsch, Springer Berlin Heidelberg, neu.
Lieferung aus: Deutschland, zzgl. Versandkosten, Sofort per Download lieferbar.
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
7
Multiple Classifier Systems: 6th International Workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005, Proceedings (2005)
~EN USISBN: 9783540263067 bzw. 3540263063, vermutlich in Englisch, Springer, Berlin/Heidelberg, Deutschland, gebraucht.
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
9
Multiple Classifier Systems - 6th International Workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005, Proceedings (2005)
~EN NW EB DLISBN: 9783540315780 bzw. 3540315780, vermutlich in Englisch, Springer Berlin Heidelberg, neu, E-Book, elektronischer Download.
Lieferung aus: Deutschland, Versandkostenfrei.
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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