Order Total (1 Item Items):
Shipping Destination:
Sevakula Rahul Kumar Verma Nishchal (12 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (12)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (10)
- As New, Fine or Near Fine (1)
- Very Good or Good (No further results match this refinement)
- Fair or Poor (No further results match this refinement)
- As Described (1)
Binding
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (4)
- Not Print on Demand (6)
Language (1)
Price
- Any Price
- Under £ 20 (No further results match this refinement)
- £ 20 to £ 35 (No further results match this refinement)
- Over £ 35
Free Shipping
- Free Shipping to U.S.A. (No further results match this refinement)
Seller Location
Seller Rating
-
Condition: As New. Unread book in perfect condition.
-
-
Improving Classifier Generalization : Real-Time Machine Learning based Applications
Language: English
Published by Springer Nature Singapore, 2022
ISBN 10: 9811950725 ISBN 13: 9789811950728
Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book elaborately discusses techniques commonly used to improve generalization performance in classification approaches. The contents highlight methods to improve classification performance in numerous case studies: ranging from datasets of UCI repository to predictive maintenance problems and cancer classification problems. The book specifically provides a detailed tutorial on how to approach time-series classification problems and discusses two real time case studies on condition monitoring. In addition to describing the various aspects a data scientist must consider before finalizing their approach to a classification problem and reviewing the state of the art for improving classification generalization performance, it also discusses in detail the authors own contributions to the field, including MVPC - a classifier with very low VC dimension, a graphical indices based framework for reliable predictive maintenance and a novel general-purpose membership functions for Fuzzy Support Vector Machine which provides state of the art performance with noisy datasets, and a novel scheme to introduce deep learning in Fuzzy Rule based classifiers (FRCs). This volume will serve as a useful reference for researchers and students working on machine learning, health monitoring, predictive maintenance, time-series analysis, gene-expression data classification.
-
Condition: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
-
Condition: New. pp. 192.
-
Improving Classifier Generalization: Real-time Machine Learning Based Applications
Language: English
Published by Springer-Nature New York Inc, 2022
ISBN 10: 9811950725 ISBN 13: 9789811950728
Hardcover. Condition: Brand New. 189 pages. 9.25x6.10x0.63 inches. In Stock.
-
Improving Classifier Generalization
Language: English
Published by Springer, Berlin|Springer Nature Singapore|Springer, 2023
ISBN 10: 981195075X ISBN 13: 9789811950759
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book elaborately discusses techniques commonly used to improve generalization performance in classification approaches. The contents highlight methods to improve classification performance in numerous case studies: ranging from datasets of UCI repos.
-
Improving Classifier Generalization
Language: English
Published by Springer, Berlin|Springer Nature Singapore|Springer, 2022
ISBN 10: 9811950725 ISBN 13: 9789811950728
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book elaborately discusses techniques commonly used to improve generalization performance in classification approaches. The contents highlight methods to improve classification performance in numerous case studies: ranging from datasets of UCI repos.
-
Condition: New. Print on Demand.
-
Condition: New. Print on Demand pp. 192.
-
Condition: New. PRINT ON DEMAND.
-
Condition: New. PRINT ON DEMAND pp. 192.
