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KARDIO Ivan Bratko Igor Mozetic Nada Lavrac

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Appears unread; dust jacket spine has fading from sun; from a smoke-free home.
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所在地:West Chester, Ohio, 美國
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曾被閱讀過的書籍,但狀況良好。封面不存在明顯損壞,精裝本書籍含書皮。不存在缺頁或內頁受損,無褶皺或破損,同時也沒有對文字標注/標記,或在留白處書寫內容。內封面上標記可能極少。書籍的磨損和破損程度也很低。 查看所有物品狀況定義會在新視窗或分頁中開啟
賣家備註
“Appears unread; dust jacket spine has fading from sun; from a smoke-free home.”
Custom Bundle
No
Subject
Science
Educational Level
Adult & Further Education
Personalized
No
Features
1st Edition, Dust Jacket
Level
Advanced
Country/Region of Manufacture
United States
ISBN
9780262022736
EAN
9780262022736

關於產品

Product Identifiers

Publisher
MIT Press
ISBN-10
0262022737
ISBN-13
9780262022736
eBay Product ID (ePID)
1372668

Product Key Features

Number of Pages
278 Pages
Publication Name
Kardio : a Study in Deep and Qualitative Knowledge for Expert Systems
Language
English
Publication Year
1989
Subject
Expert Systems, Computer Science, Cardiology
Type
Textbook
Author
Igor Mozetic, Ivan Bratko, Nada Lavac
Subject Area
Computers, Medical
Format
Hardcover

Dimensions

Item Height
1 in
Item Weight
20.5 Oz
Item Length
3.6 in
Item Width
6 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
88-022504
Dewey Edition
19
Illustrated
Yes
Dewey Decimal
616.1/2807547/028563
Synopsis
This book is the first detailed account of the development of a complex and successful expert system based on deep and qualitative knowledge. It shows how the qualitative modeling approach, using logic based representations and machine learning techniques, can be used to construct knowledge bases whose complexity is far beyond the capability of traditional, dialogue based techniques of knowledge acquisition. The relevant techniques are demonstrated in full detail in the building of Kardio, a medical expert system model of the human heart designed for the diagnosis of cardiac arrhythmias. Kardio's performance is estimated by cardiologists to be equivalent to that of a specialist of internal medicine (not a cardiologist) who is highly skilled in the reading of ECG recordings, and it can be used as a diagnostic tool in ECG interpretation. It may also be used for instruction in electrocardiography. The authors show how the model was compiled, by means of qualitative simulation and machine learning tools, into various representations that are suited for particular expert tasks. They investigate a hierarchical organization of a qualitative model and outline an experiment whereby the construction of a deep model is automated by means of machine learning techniques. The book contains a complete model of the electrical system of the heart that can be used to further development in this area of applications. Ivan Bratko, author of Prolog Programming for Artificial Intelligence, is a professor of computer science at E. Kardelj University and leads the AI laboratory at the Jozef Stefan Institute in Ljubljana, Yugoslavia. Igor Mozetic and Nada Lavrac are researchers at the institute.
LC Classification Number
RC685.A65B69 1989

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