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» Process modelling: the deontic way
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HIS
2003
15 years 8 months ago
A Hybrid Approach for Learning Parameters of Probabilistic Networks from Incomplete Databases
– Probabilistic Inference Networks are becoming increasingly popular for modeling and reasoning in uncertain domains. In the past few years, many efforts have been made in learni...
S. Haider
EC
2006
136views ECommerce» more  EC 2006»
15 years 6 months ago
Error Thresholds in Genetic Algorithms
The error threshold of replication is an important notion of the quasispecies evolution model; it is a critical mutation rate (error rate) beyond which structures obtained by an e...
Gabriela Ochoa
ISCI
2007
170views more  ISCI 2007»
15 years 6 months ago
Automatic learning of cost functions for graph edit distance
Graph matching and graph edit distance have become important tools in structural pattern recognition. The graph edit distance concept allows us to measure the structural similarit...
Michel Neuhaus, Horst Bunke
IFM
2010
Springer
203views Formal Methods» more  IFM 2010»
15 years 5 months ago
A CSP Approach to Control in Event-B
Event-B has emerged as one of the dominant state-based formal techniques used for modelling control-intensive applications. Due to the blocking semantics of events, their ordering ...
Steve Schneider, Helen Treharne, Heike Wehrheim
ECIR
2009
Springer
15 years 4 months ago
Graded-Inclusion-Based Information Retrieval Systems
This paper investigates the use of fuzzy logic mechanisms coming from the database community, namely graded inclusions, to model the information retrieval process. In this framewor...
Patrick Bosc, Vincent Claveau, Olivier Pivert, Lau...