Items related to Prediction and Analysis for Knowledge Representation...
- PublisherChapman and Hall/CRC
- Publication date2024
- ISBN 10 036764911X
- ISBN 13 9780367649111
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages232
- EditorKumar Avadhesh, Sagar Shrddha, Kumar T Ganesh, Kumar K Sampath
Search results for Prediction and Analysis for Knowledge Representation...
Stock Image
Prediction and Analysis for Knowledge Representation and Machine Learning
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. Seller Inventory # 48138420-n
Quantity: Over 20 available
Stock Image
Prediction and analysis for knowledge representation and machine learning
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. pages cm First edition Includes bibliographical references and index. Seller Inventory # 26397727881
Quantity: 4 available
Stock Image
Prediction and analysis for knowledge representation and machine learning
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. pages cm. Seller Inventory # 398681942
Quantity: 3 available
Stock Image
Prediction and Analysis for Knowledge Representation and Machine Learning (Paperback)
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. A number of approaches are being defined for statistics and machine learning. These approaches are used for the identification of the process of the system and the models created from the systems perceived data, assisting scientists in the generation or refinement of current models. Machine learning is being studied extensively in science, particularly in bioinformatics, economics, social sciences, ecology, and climate science, but learning from data individually needs to be researched more for complex scenarios. Advanced knowledge representation approaches that can capture structural and process properties are necessary to provide meaningful knowledge to machine learning algorithms. It has a significant impact on comprehending difficult scientific problems.Prediction and Analysis for Knowledge Representation and Machine Learning demonstrates various knowledge representation and machine learning methodologies and architectures that will be active in the research field. The approaches are reviewed with real-life examples from a wide range of research topics. An understanding of a number of techniques and algorithms that are implemented in knowledge representation in machine learning is available through the books website.Features: Examines the representational adequacy of needed knowledge representation Manipulates inferential adequacy for knowledge representation in order to produce new knowledge derived from the original information Improves inferential and acquisition efficiency by applying automatic methods to acquire new knowledge Covers the major challenges, concerns, and breakthroughs in knowledge representation and machine learning using the most up-to-date technology Describes the ideas of knowledge representation and related technologies, as well as their applications, in order to help humankind become better and smarterThis book serves as a reference book for researchers and practitioners who are working in the field of information technology and computer science in knowledge representation and machine learning for both basic and advanced concepts. Nowadays, it has become essential to develop adaptive, robust, scalable, and reliable applications and also design solutions for day-to-day problems. The edited book will be helpful for industry people and will also help beginners as well as high-level users for learning the latest things, which include both basic and advanced concepts. This book illustrates different techniques and structures that are used in knowledge representation and machine learning. The aim of this book is to draw the attention of graduates, researchers and practitioners working in field of information technology and computer science (in knowledge representation in machine learning). Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780367649111
Quantity: 1 available
Stock Image
Prediction and Analysis for Knowledge Representation and Machine Learning
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 4 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 48138420
Quantity: Over 20 available
Stock Image
Prediction and Analysis for Knowledge Representation and Machine Learning
Print on DemandSeller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. 232 pages. 9.18x6.12x9.21 inches. In Stock. This item is printed on demand. Seller Inventory # __036764911X
Quantity: 1 available
Stock Image
Prediction and Analysis for Knowledge Representation and Machine Learning
Published by
Taylor & Francis Ltd, 2024
ISBN 10: 036764911X
ISBN 13: 9780367649111
New
Paperback / softback
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 430. Seller Inventory # B9780367649111
Quantity: 1 available
Stock Image
Prediction and analysis for knowledge representation and machine learning
Print on DemandSeller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 5 out of 5 stars
Condition: New. PRINT ON DEMAND pages cm. Seller Inventory # 18397727875
Quantity: 4 available
Stock Image
Prediction and Analysis for Knowledge Representation and Machine Learning
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9780367649111_new
Quantity: Over 20 available
Stock Image
Prediction and Analysis for Knowledge Representation and Machine Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 48138420-n
Quantity: Over 20 available