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IWANN
2005
Springer
14 years 3 months ago
Co-evolutionary Learning in Liquid Architectures
A large class of problems requires real-time processing of complex temporal inputs in real-time. These are difficult tasks for state-of-the-art techniques, since they require captu...
Igal Raichelgauz, Karina Odinaev, Yehoshua Y. Zeev...
CONCUR
2010
Springer
13 years 11 months ago
Mean-Payoff Automaton Expressions
Abstract. Quantitative languages are an extension of boolean languages that assign to each word a real number. Mean-payoff automata are finite automata with numerical weights on tr...
Krishnendu Chatterjee, Laurent Doyen, Herbert Edel...
PODS
2005
ACM
130views Database» more  PODS 2005»
14 years 10 months ago
Composition of mappings given by embedded dependencies
Composition of mappings between schemas is essential to support schema evolution, data exchange, data integration, and other data management tasks. In many applications, mappings ...
Alan Nash, Philip A. Bernstein, Sergey Melnik
KDD
2007
ACM
179views Data Mining» more  KDD 2007»
14 years 4 months ago
Mining statistically important equivalence classes and delta-discriminative emerging patterns
The support-confidence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that effectively simplifies the search lattice. This com...
Jinyan Li, Guimei Liu, Limsoon Wong
AGTIVE
2003
Springer
14 years 3 months ago
Specifying Pointer Structures by Graph Reduction
Graph-reduction specifications (GRSs) are a powerful new method for specifying classes of pointer data structures (shapes). They cover important shapes, like various forms of bal...
Adam Bakewell, Detlef Plump, Colin Runciman