EconPapers    
Economics at your fingertips  
 

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 ().

 
Page updated 2026-07-12
Handle: RePEc:spr:sprchp:978-1-4757-2440-0_1