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» Learning Rules and Their Exceptions
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VLDB
1990
ACM
101views Database» more  VLDB 1990»
15 years 1 months ago
Non-Monotonic Knowledge Evolution in VLKDBs
Non-monotonic knowledge evolutions and exceptions constitute a complex theoritical and practical problem. The state of the art shows a rich and surprising diversity of approaches....
Christian Esculier
ICCL
1994
IEEE
15 years 1 months ago
Semantics for a Real-Time Object-Oriented Programming Language
This paper presents a framework to define a semantics for a real-time object-orientation programming language and to verify programs written in the language. The semantics is defi...
Ichiro Satoh, Mario Tokoro
NIPS
2001
14 years 11 months ago
An Efficient Clustering Algorithm Using Stochastic Association Model and Its Implementation Using Nanostructures
This paper describes a clustering algorithm for vector quantizers using a "stochastic association model". It offers a new simple and powerful softmax adaptation rule. Th...
Takashi Morie, Tomohiro Matsuura, Makoto Nagata, A...
ENTCS
2010
120views more  ENTCS 2010»
14 years 10 months ago
Undecidability of the Logic of Overlap Relation over Discrete Linear Orderings
The validity/satisfiability problem for most propositional interval temporal logics is (highly) undecidable, under very weak assumptions on the class of interval structures in whi...
Davide Bresolin, Dario Della Monica, Valentin Gora...
CSDA
2007
99views more  CSDA 2007»
14 years 10 months ago
CLUES: A non-parametric clustering method based on local shrinking
In this paper, we propose a novel non-parametric clustering method based on non-parametric local shrinking. Each data point is transformed in such a way that it moves a specific ...
Xiaogang Wang, Weiliang Qiu, Ruben H. Zamar