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SAGA
2001
Springer
13 years 12 months ago
Stochastic Finite Learning
Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to potential ap...
Thomas Zeugmann
ADBIS
2004
Springer
124views Database» more  ADBIS 2004»
14 years 26 days ago
Vague Spatial Data Types, Set Operations, and Predicates
Many geographical applications deal with spatial objects that cannot be adequately described by determinate, crisp concepts because of their intrinsically indeterminate and vague n...
Alejandro Pauly, Markus Schneider
HLPPP
1991
13 years 11 months ago
Reasoning About Synchronic Groups
Swarm is a computational model which extends the UNITY model in three important ways: (1) UNITY’s fixed set of variables is replaced by an unbounded set of tuples which are add...
Gruia-Catalin Roman, H. Conrad Cunningham
BSL
2004
110views more  BSL 2004»
13 years 7 months ago
Notes on quasiminimality and excellence
This paper ties together much of the model theory of the last 50 years. Shelah's attempts to generalize the Morley theorem beyond first order logic led to the notion of excel...
John T. Baldwin
GPEM
2002
95views more  GPEM 2002»
13 years 7 months ago
On Appropriate Adaptation Levels for the Learning of Gene Linkage
A number of algorithms have been proposed aimed at tackling the problem of learning "Gene Linkage" within the context of genetic optimisation, that is to say, the problem...
James Smith