Introduction: Four Periods in the Research of the Learning Problem
Vladimir N. Vapnik
Additional contact information
Vladimir N. Vapnik: AT&T Bell Laboratories
A chapter in The Nature of Statistical Learning Theory, 1995, pp 1-14 from Springer
Abstract:
Abstract In the history of research of the learning problem one can extract four periods that can be characterized by four bright events: (i) Constructing the first learning machines, (ii) constructing the fundamentals of the theory, (iii) constructing neural networks, (iv) constructing the alternatives to neural networks.
Keywords: Learn Problem; Generalization Ability; Inductive Inference; Statistical Learn Theory; Inductive Principle (search for similar items in EconPapers)
Date: 1995
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4757-2440-0_1
Ordering information: This item can be ordered from
http://www.springer.com/9781475724400
DOI: 10.1007/978-1-4757-2440-0_1
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().