Description: Machine Learning by Tom M. Mitchell, Jaime G. Carbonell, Ryszard S. Michalski Estimated delivery 3-12 business days Format Paperback Condition Brand New Description One of the currently most active research areas within Artificial Intelligence is the field of Machine Learning. The majority of these papers were collected from the participants at the Third International Machine Learning Workshop. Publisher Description One of the currently most active research areas within Artificial Intelligence is the field of Machine Learning. which involves the study and development of computational models of learning processes. A major goal of research in this field is to build computers capable of improving their performance with practice and of acquiring knowledge on their own. The intent of this book is to provide a snapshot of this field through a broad. representative set of easily assimilated short papers. As such. this book is intended to complement the two volumes of Machine Learning: An Artificial Intelligence Approach (Morgan-Kaufman Publishers). which provide a smaller number of in-depth research papers. Each of the 77 papers in the present book summarizes a current research effort. and provides references to longer expositions appearing elsewhere. These papers cover a broad range of topics. including research on analogy. conceptual clustering. explanation-based generalization. incremental learning. inductive inference. learning apprentice systems. machine discovery. theoretical models of learning. and applications of machine learning methods. A subject index IS provided to assist in locating research related to specific topics. The majority of these papers were collected from the participants at the Third International Machine Learning Workshop. held June 24-26. 1985 at Skytop Lodge. Skytop. Pennsylvania. While the list of research projects covered is not exhaustive. we believe that it provides a representative sampling of the best ongoing work in the field. and a unique perspective on where the field is and where it is headed. Details ISBN 1461294061 ISBN-13 9781461294061 Title Machine Learning Author Tom M. Mitchell, Jaime G. Carbonell, Ryszard S. Michalski Format Paperback Year 2011 Pages 429 Publisher Springer-Verlag New York Inc. GE_Item_ID:137950387; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 306.11 USD
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ISBN-13: 9781461294061
Book Title: Machine Learning
Number of Pages: Xvi, 429 Pages
Publication Name: Machine Learning : a Guide to Current Research
Language: English
Publisher: Springer
Publication Year: 2011
Subject: Intelligence (Ai) & Semantics
Item Weight: 25.1 Oz
Type: Textbook
Subject Area: Computers
Author: Jaime G. Carbonell
Item Length: 9.4 in
Item Width: 6.3 in
Series: The Springer International Series in Engineering and Computer Science Ser.
Format: Trade Paperback