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ICANN
2005
Springer
16 years 7 days ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber
190
Voted
LICS
1994
IEEE
15 years 10 months ago
On the Parallel Complexity of Model Checking in the Modal Mu-Calculus
The modal mu-calculus is an expressive logic that can be used to specify safety and liveness properties of concurrent systems represented as labeled transition systems (LTSs). We ...
Shipei Zhang, Oleg Sokolsky, Scott A. Smolka
TASE
2008
IEEE
15 years 6 months ago
Modeling and Supervisory Control of Railway Networks Using Petri Nets
In this paper we deal with the problem of modeling railway networks with Petri nets so as to apply the theory of supervisory control for discrete event systems to automatically de...
Alessandro Giua, Carla Seatzu
CSL
2006
Springer
15 years 10 months ago
Game Quantification on Automatic Structures and Hierarchical Model Checking Games
Game quantification is an expressive concept and has been studied in model theory and descriptive set theory, especially in relation to infinitary logics. Automatic structures on t...
Lukasz Kaiser
BMCBI
2010
105views more  BMCBI 2010»
15 years 6 months ago
Subdivision of the MDR superfamily of medium-chain dehydrogenases/reductases through iterative hidden Markov model refinement
Background: The Medium-chain Dehydrogenases/Reductases (MDR) form a protein superfamily whose size and complexity defeats traditional means of subclassification; it currently has ...
Joel Hedlund, Hans Jörnvall, Bengt Persson