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Can I read Learning from Good and Bad Data Volume 47 || on EtoBox?
Learning from Good and Bad Data Volume 47 || by Philip D. Laird (auth.) is a computer science book available to read on EtoBox.
What is Learning from Good and Bad Data Volume 47 || about?
This monograph is a contribution to the study of the identification problem: the problem of identifying an item from a known class us ing positive and negative examples. This problem is considered to be an important component of the process of inductive learning, and as such has been studied extensively. In the overview we shall explain the objectives of this work and its place in the overall fabric of learning research. Context. Learning occurs in many forms; the only form we are treat ing here
Who reads Learning from Good and Bad Data Volume 47 ||?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Philip D. Laird (auth.)
- Publisher
- Springer London, Limited
- Published
- 1988
- Language
- EN
- ISBN
- 9781461316855
- Category
- computer science
- Subjects
- Computer Science, Science, Technology
- Updated
- 2026-03-25
Other editions & translations
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