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JSAI
2005
Springer
14 years 1 months ago
Learning Stochastic Logical Automaton
Abstract. This paper is concerned with algorithms for the logical generalisation of probabilistic temporal models from examples. The algorithms combine logic and probabilistic mode...
Hiroaki Watanabe, Stephen Muggleton
NC
1998
140views Neural Networks» more  NC 1998»
13 years 9 months ago
Recurrent Neural Networks with Iterated Function Systems Dynamics
We suggest a recurrent neural network (RNN) model with a recurrent part corresponding to iterative function systems (IFS) introduced by Barnsley 1] as a fractal image compression ...
Peter Tiño, Georg Dorffner
CGF
2006
111views more  CGF 2006»
13 years 8 months ago
Efficient Large Scale Acquisition of Building Interiors
We describe a system for the rapid acquisition of building interiors. In 40 hours, a two member team with a single acquisition device captured a model of the corridors and 20 indi...
Gleb Bahmutov, Voicu Popescu, Mihai Mudure
VAMOS
2007
Springer
14 years 2 months ago
Variability Models Must Not be Invariant!
Variability modeling techniques are used to specify variable aspects of members of a family of related software artifacts. Instances of variability models are then used to effici...
Elmar Jürgens, Markus Pizka
JCP
2008
114views more  JCP 2008»
13 years 8 months ago
Statistical Analysis and Data Analysis of Stock Market by Interacting Particle Models
The statistical analysis of Chinese stock market fluctuations modeled by the interacting particle systems has been done in this paper. The contact model and voter model of the inte...
Jun Wang, Bingli Fan, Tiansong Wang