MACHINE LEARING: PRINCIPLES AND TECHNIQUES

FORSYTH R.

ISBN 10: 0412305801 / ISBN 13: 9780412305801

Published by SP CHAPMAN & HALL, 1989

About this Item

Brand New ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.

Seller Inventory # CVS 9780412305801

Bibliographic Details

• Title: MACHINE LEARING: PRINCIPLES AND TECHNIQUES
• Publisher: SP CHAPMAN & HALL
• Publication Date: 1989
• Language: English
• ISBN 10: 0412305801
• ISBN 13: 9780412305801
• Binding: Soft cover
• Edition: International Edition
• Condition: New

About this title

Synopsis

Part 1: Background The logic of induction - Richard Forsyth Machine induction as a form of knowledge acquisition in knowledge engineering - Anna Hart Inductive learning: the user's perspective - Tomasz Arciszewski and M. Mustafa Part 2: Biologically inspired systems The evolution of intelligence - Richard Forsyth Artificial evolution and artificial intelligence - Ingo Rechenberg Learning and distributed memory: getting close to neurons - Igor Aleksander Part 3: Automated discovery Automated discovery - Kenneth Haase The acquisition of natural language by machine - Chris Naylor A computational model of creativity - Masoud Yazdani Part 4: Long-term perspectives The road to knowledge-rich learning - Roy Rada Databases that learn - Derek Partridge Cognitive architecture and connectionism - Ajit Narayanan Machine learning: the next ten years - Dimitris Chorafas.