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» Modelling Bounded Rationality Using Evolutionary Techniques
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127
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AIEDAM
2008
127views more  AIEDAM 2008»
15 years 2 months ago
Evolving blackbox quantum algorithms using genetic programming
Although it is known that quantum computers can solve certain computational problems exponentially faster than classical computers, only a small number of quantum algorithms have ...
Ralf Stadelhofer, Wolfgang Banzhaf, Dieter Suter
94
Voted
ICML
2003
IEEE
16 years 3 months ago
Using Linear-threshold Algorithms to Combine Multi-class Sub-experts
We present a new type of multi-class learning algorithm called a linear-max algorithm. Linearmax algorithms learn with a special type of attribute called a sub-expert. A sub-exper...
Chris Mesterharm
SODA
2001
ACM
110views Algorithms» more  SODA 2001»
15 years 4 months ago
Absolute convergence: true trees from short sequences
Fast-converging methods for reconstructing phylogenetic trees require that the sequences characterizing the taxa be of only polynomial length, a major asset in practice, since rea...
Tandy Warnow, Bernard M. E. Moret, Katherine St. J...
143
Voted
CAV
2012
Springer
222views Hardware» more  CAV 2012»
13 years 5 months ago
Leveraging Interpolant Strength in Model Checking
Craig interpolation is a well known method of abstraction successfully used in both hardware and software model checking. The logical strength of interpolants can affect the quali...
Simone Fulvio Rollini, Ondrej Sery, Natasha Sharyg...
124
Voted
IPPS
2006
IEEE
15 years 8 months ago
Timed automata based analysis of embedded system architectures
We show that timed automata can be used to model and to analyze timeliness properties of embedded system architectures. Using a case study inspired by industrial practice, we pres...
Martijn Hendriks, Marcel Verhoef