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» Descriptive Complexity and Model Checking
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ALT
2003
Springer
15 years 6 months ago
Intrinsic Complexity of Uniform Learning
Inductive inference is concerned with algorithmic learning of recursive functions. In the model of learning in the limit a learner successful for a class of recursive functions mus...
Sandra Zilles
IASTEDSEA
2004
14 years 11 months ago
Towards flexible software processes by using process patterns
Process patterns allow the modular modelling and adaptable application of software processes. Present descriptions of process patterns show defects like non-uniform and unequivoca...
Mariele Hagen, Volker Gruhn
EDBT
2009
ACM
138views Database» more  EDBT 2009»
15 years 4 months ago
FOGGER: an algorithm for graph generator discovery
To our best knowledge, all existing graph pattern mining algorithms can only mine either closed, maximal or the complete set of frequent subgraphs instead of graph generators whic...
Zhiping Zeng, Jianyong Wang, Jun Zhang, Lizhu Zhou
SEKE
2010
Springer
14 years 8 months ago
Ontology-Based Test Case Generation For Simulating Complex Production Automation Systems
—The behavior of complex production automation systems is hard to predict, therefore simulation is used to study the likely system behavior. However, in a real-world system many ...
Thomas Moser, Gregor Dürr, Stefan Biffl
GFKL
2007
Springer
148views Data Mining» more  GFKL 2007»
15 years 4 months ago
Mixture Model Based Group Inference in Fused Genotype and Phenotype Data
The analysis of genetic diseases has classically been directed towards establishing direct links between cause, a genetic variation, and effect, the observable deviation of phenot...
Benjamin Georgi, M. Anne Spence, Pamela Flodman, A...