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KBSE
2008
IEEE
15 years 6 months ago
Inferring Finite-State Models with Temporal Constraints
Finite state machine-based abstractions of software behaviour are popular because they can be used as the basis for a wide range of (semi-) automated verification and validation ...
Neil Walkinshaw, Kirill Bogdanov
103
Voted
NPL
1998
129views more  NPL 1998»
14 years 11 months ago
Extraction of Logical Rules from Neural Networks
A new architecture and method for feature selection and extraction of logical rules from neural networks trained with backpropagation algorithm is presented. The network consists ...
Wlodzislaw Duch, Rafal Adamczak, Krzysztof Grabcze...
FSKD
2009
Springer
103views Fuzzy Logic» more  FSKD 2009»
15 years 4 months ago
The Effect of Distance Metrics on Boosting with Dynamic Weighting Schemes
—This paper presents some preliminary experimental results on RegionBoost, which is a typical example of a class of Boosting algorithms based on dynamic weighting schemes. It is ...
Xinzhu Yang, Bo Yuan, Wenhuang Liu
ALT
2004
Springer
15 years 8 months ago
Probabilistic Inductive Logic Programming
Probabilistic inductive logic programming, sometimes also called statistical relational learning, addresses one of the central questions of artificial intelligence: the integratio...
Luc De Raedt, Kristian Kersting
LFCS
2007
Springer
15 years 5 months ago
A Temporal Dynamic Logic for Verifying Hybrid System Invariants
We combine first-order dynamic logic for reasoning about possible behaviour of hybrid systems with temporal logic for reasoning about the temporal behaviour during their operation...
André Platzer