Burr settles (11 risultati)
Lingua: Inglese
Editore: Morgan & Claypool Publishers 2012
Serie: Synthesis Lectures on Artificial Intelligence and Machine Learning, Libro 2 di 14. Libro 2 di 14 - Synthesis Lectures on Artificial Intelligence and Machine Learning
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Da: medimops, Berlin, Germaniamedimops
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EUR 29,59
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Condizione: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Lingua: Inglese
Editore: Springer 2012
Serie: Synthesis Lectures on Artificial Intelligence and Machine Learning, Libro 2 di 14. Libro 2 di 14 - Synthesis Lectures on Artificial Intelligence and Machine Learning
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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EUR 37,92
EUR 13,81 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Condizione: New. In English.
Lingua: Inglese
Editore: Springer 2012
Serie: Synthesis Lectures on Artificial Intelligence and Machine Learning, Libro 2 di 14. Libro 2 di 14 - Synthesis Lectures on Artificial Intelligence and Machine Learning
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 52,85
EUR 3,48 spedizioneSpedito in U.S.A.Quantità: 4 disponibili
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer International Publishing 2012
Serie: Synthesis Lectures on Artificial Intelligence and Machine Learning, Libro 2 di 14. Libro 2 di 14 - Synthesis Lectures on Artificial Intelligence and Machine Learning
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 37,44
EUR 61,17 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The key idea behind active learning is that a machine learning algorithm can perform better with less training if it is allowed to choose the data from which it learns. An active learner may pose 'queries,' usually in the form of unlabeled data in…stances to be labeled by an 'oracle' (e.g., a human annotator) that already understands the nature of the problem. This sort of approach is well-motivated in many modern machine learning and data mining applications, where unlabeled data may be abundant or easy to come by, but training labels are difficult, time-consuming, or expensive to obtain. This book is a general introduction to active learning. It outlines several scenarios in which queries might be formulated, and details many query selection algorithms which have been organized into four broad categories, or 'query selection frameworks.' We also touch on some of the theoretical foundations of active learning, and conclude with an overview of the strengths and weaknesses of these approaches in practice, including a summary of ongoing work to address these open challenges and opportunities. Table of Contents: Automating Inquiry / Uncertainty Sampling / Searching Through the Hypothesis Space / Minimizing Expected Error and Variance / Exploiting Structure in Data / Theory / Practical Considerations.
Lingua: Inglese
Editore: Springer 2012
Serie: Synthesis Lectures on Artificial Intelligence and Machine Learning, Libro 2 di 14. Libro 2 di 14 - Synthesis Lectures on Artificial Intelligence and Machine Learning
- Brossura
Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 36,90
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: Neu. Active Learning | Burr Settles | Taschenbuch | Synthesis Lectures on Artificial Intelligence and Machine Learning | xiv | Englisch | 2012 | Springer | EAN 9783031004322 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[do…t]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer 2012
Serie: Synthesis Lectures on Artificial Intelligence and Machine Learning, Libro 2 di 14. Libro 2 di 14 - Synthesis Lectures on Artificial Intelligence and Machine Learning
- Brossura
- Print on Demand
Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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EUR 34,22
EUR 5,50 spedizioneSpedito da Italia a U.S.A.Quantità: Più di 20 disponibili
Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer 2012
Serie: Synthesis Lectures on Artificial Intelligence and Machine Learning, Libro 2 di 14. Libro 2 di 14 - Synthesis Lectures on Artificial Intelligence and Machine Learning
- Brossura
- Print on Demand
Da: Majestic Books, Hounslow, , Regno UnitoMajestic Books
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EUR 50,93
EUR 7,49 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Condizione: New. Print on Demand.
Lingua: Inglese
Editore: Springer International Publishing Aug 2012 2012
Serie: Synthesis Lectures on Artificial Intelligence and Machine Learning, Libro 2 di 14. Libro 2 di 14 - Synthesis Lectures on Artificial Intelligence and Machine Learning
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- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 37,44
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The key idea behind active learning is that a machine learning algorithm can perform better with less training if it is allowed to choose the data from which it learns. An active learner may pose 'queries,' usually in the form of u…nlabeled data instances to be labeled by an 'oracle' (e.g., a human annotator) that already understands the nature of the problem. This sort of approach is well-motivated in many modern machine learning and data mining applications, where unlabeled data may be abundant or easy to come by, but training labels are difficult, time-consuming, or expensive to obtain. This book is a general introduction to active learning. It outlines several scenarios in which queries might be formulated, and details many query selection algorithms which have been organized into four broad categories, or 'query selection frameworks.' We also touch on some of the theoretical foundations of active learning, and conclude with an overview of the strengths and weaknesses of these approaches in practice, including a summary of ongoing work to address these open challenges and opportunities. Table of Contents: Automating Inquiry / Uncertainty Sampling / Searching Through the Hypothesis Space / Minimizing Expected Error and Variance / Exploiting Structure in Data / Theory / Practical Considerations 116 pp. Englisch.
Lingua: Inglese
Editore: Springer 2012
Serie: Synthesis Lectures on Artificial Intelligence and Machine Learning, Libro 2 di 14. Libro 2 di 14 - Synthesis Lectures on Artificial Intelligence and Machine Learning
- Brossura
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 51,44
EUR 9,95 spedizioneSpedito da Germania a U.S.A.Quantità: 4 disponibili
Condizione: New. PRINT ON DEMAND.
Lingua: Inglese
Editore: Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer 2012
Serie: Synthesis Lectures on Artificial Intelligence and Machine Learning, Libro 2 di 14. Libro 2 di 14 - Synthesis Lectures on Artificial Intelligence and Machine Learning
- Brossura
- Print on Demand
Da: moluna, Greven, , Germaniamoluna
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EUR 34,41
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The key idea behind active learning is that a machine learning algorithm can perform better with less training if it is allowed to choose the data from which it learns. An active learner may pose queries, usually in…the form of unlabeled data instances to.
Lingua: Inglese
Editore: Springer, Springer Aug 2012 2012
Serie: Synthesis Lectures on Artificial Intelligence and Machine Learning, Libro 2 di 14. Libro 2 di 14 - Synthesis Lectures on Artificial Intelligence and Machine Learning
- Brossura
- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 37,44
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The key idea behind active learning is that a machine learning algorithm can perform better with less training if it is allowed to choose the data from which it learns. An active learner may pose 'queries,' usually in the form of unlab…eled data instances to be labeled by an 'oracle' (e.g., a human annotator) that already understands the nature of the problem. This sort of approach is well-motivated in many modern machine learning and data mining applications, where unlabeled data may be abundant or easy to come by, but training labels are difficult, time-consuming, or expensive to obtain. This book is a general introduction to active learning. It outlines several scenarios in which queries might be formulated, and details many query selection algorithms which have been organized into four broad categories, or 'query selection frameworks.' We also touch on some of the theoretical foundations of active learning, and conclude with an overview of the strengths and weaknesses of these approaches in practice, including a summary of ongoing work to address these open challenges and opportunities. Table of Contents: Automating Inquiry / Uncertainty Sampling / Searching Through the Hypothesis Space / Minimizing Expected Error and Variance / Exploiting Structure in Data / Theory / Practical ConsiderationsSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 116 pp. Englisch.
