Learning from Good and Bad Data
Author:   Philip D. Laird
Publisher:   Kluwer Academic Publishers
Edition:   1988 ed.
Volume:   47
ISBN:  

9780898382631


Pages:   212
Publication Date:   31 March 1988
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Learning from Good and Bad Data


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Author:   Philip D. Laird
Publisher:   Kluwer Academic Publishers
Imprint:   Kluwer Academic Publishers
Edition:   1988 ed.
Volume:   47
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.50cm
Weight:   1.110kg
ISBN:  

9780898382631


ISBN 10:   0898382637
Pages:   212
Publication Date:   31 March 1988
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

I Identification in the Limit from Indifferent Teachers.- 1 The Identification Problem.- 2 Identification by Refinement.- 3 How to Work With Refinements.- II Probabilistic Identification from Random Examples.- 4 Probabilistic Approximate Identification.- 5 Identification from Noisy Examples.- 6 Conclusions.

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