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SSPR
1998
Springer
14 years 2 months ago
Multi-interval Discretization Methods for Decision Tree Learning
Properly addressing the discretization process of continuos valued features is an important problem during decision tree learning. This paper describes four multi-interval discreti...
Petra Perner, Sascha Trautzsch
HYBRID
2000
Springer
14 years 1 months ago
Controlled Invariance of Discrete Time Systems
Abstract. An algorithm for computing the maximal controlled invariant set and the least restrictive controller for discrete time systems is proposed. We show how the algorithm can ...
René Vidal, Shawn Schaffert, John Lygeros, ...
SCALESPACE
2007
Springer
14 years 4 months ago
Discrete Regularization on Weighted Graphs for Image and Mesh Filtering
We propose a discrete regularization framework on weighted graphs of arbitrary topology, which unifies image and mesh filtering. The approach considers the problem as a variation...
Sébastien Bougleux, Abderrahim Elmoataz, Ma...
COCOON
2001
Springer
14 years 2 months ago
Decidable Approximations on Generalized and Parameterized Discrete Timed Automata
We consider generalized discrete timed automata with general linear relations over clocks and parameterized constants as clock constraints and with parameterized durations. We look...
Zhe Dang, Oscar H. Ibarra, Richard A. Kemmerer
PKDD
1999
Springer
103views Data Mining» more  PKDD 1999»
14 years 2 months ago
An Evolutionary Algorithm Using Multivariate Discretization for Decision Rule Induction
Abstract. We describe EDRL-MD, an evolutionary algorithm-based system, for learning decision rules from databases. The main novelty of our approach lies in dealing with continuous ...
Wojciech Kwedlo, Marek Kretowski