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NN
2006
Springer
114views Neural Networks» more  NN 2006»
14 years 9 months ago
Modular learning models in forecasting natural phenomena
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
Dimitri P. Solomatine, Michael Baskara L. A. Siek
FSEN
2007
Springer
15 years 4 months ago
Hoare Logic for ARM Machine Code
This paper shows how a machine-code Hoare logic is used to lift reasoning from the tedious operational model of a machine lana manageable level of abstraction without making simpli...
Magnus O. Myreen, Anthony C. J. Fox, Michael J. C....
AAAI
2008
15 years 4 days ago
Optimal Metric Planning with State Sets in Automata Representation
This paper proposes an optimal approach to infinite-state action planning exploiting automata theory. State sets and actions are characterized by Presburger formulas and represent...
Björn Ulrich Borowsky, Stefan Edelkamp
ICCSA
2010
Springer
14 years 11 months ago
Efficient Algorithms for the 2-Center Problems
This paper achieves O(n3 log log n/ log n) time for the 2center problems on a directed graph with non-negative edge costs under the conventional RAM model where only arithmetic ope...
Tadao Takaoka
JC
2008
92views more  JC 2008»
14 years 9 months ago
Characterizing Valiant's algebraic complexity classes
Valiant introduced 20 years ago an algebraic complexity theory to study the complexity of polynomial families. The basic computation model used is the arithmetic circuit, which ma...
Guillaume Malod, Natacha Portier