Analogical and Inductive Inference - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783540560043, 9783540473398
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The power of probabilism in Popperian FINite learning

1992 ◽  
pp. 151-169 ◽  
Author(s):  
Robert Daley ◽  
Bala Kalyanasundaram ◽  
Mahe Velauthapillai

Too much information can be too much for learning efficiently

1992 ◽  
pp. 72-86 ◽  
Author(s):  
Rolf Wiehagen ◽  
Thomas Zeugmann

Representing the spatial/kinematic domain and lattice computers

1992 ◽  
pp. 1-25
Author(s):  
John Case ◽  
Dayanand S. Rajan ◽  
Anil M. Shende

Predictive analogy and cognition

1992 ◽  
pp. 214-231 ◽  
Author(s):  
Bipin Indurkhya

Unions of identifiable classes of total recursive functions

1992 ◽  
pp. 99-107 ◽  
Author(s):  
Kalvis Apsītis ◽  
Rūsinš Freivalds ◽  
Mārtinš Krikis ◽  
Raimonds Simanovskis ◽  
Juris Smotrovs
Keyword(s):  
Recursive Functions

A unifying approach to monotonic language learning on informant

1992 ◽  
pp. 244-259 ◽  
Author(s):  
Steffen Lange ◽  
Thomas Zeugmann
Keyword(s):  
Language Learning
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