An Experimental Study of Some Algorithms for Unsupervised Learning

Niemann, Heinrich; Sagerer, Gerhard

doi:10.1109/tpami.1982.4767271

IEEE Trans. Pattern Anal. Mach. Intell.

1982

DOI: 10.1109/tpami.1982.4767271

|View full text |Cite

An Experimental Study of Some Algorithms for Unsupervised Learning

Heinrich Niemann

Gerhard Sagerer

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

1988

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

History dependent stochastic automata: A formal view of evolutionary learning

Waner

Hastings

1988

Int. J. Intell. Syst.

View full text Add to dashboard Cite

We develop a theoretical framework for the study of cvolutionary learning systems. The formalism we use is that of history dependent stochastic automata with suitable structure, as well as related structures. This formalism provides a natural setting in which to describe the learning of classification hierarchies, of control hierarchies and notions of selfrefercnce, all of which are derived as consequences of the ability to learn by association.

show abstract

History dependent stochastic automata: A formal view of evolutionary learning

Waner

Hastings

1988

Int. J. Intell. Syst.

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

An Experimental Study of Some Algorithms for Unsupervised Learning

Cited by 1 publication

References 9 publications

History dependent stochastic automata: A formal view of evolutionary learning

History dependent stochastic automata: A formal view of evolutionary learning

Contact Info

Product

Resources

About