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FLAIRS
2006
13 years 9 months ago
Improving Modularity in Genetic Programming Using Graph-Based Data Mining
We propose to improve the efficiency of genetic programming, a method to automatically evolve computer programs. We use graph-based data mining to identify common aspects of highl...
Istvan Jonyer, Akiko Himes
ENTCS
2008
121views more  ENTCS 2008»
13 years 7 months ago
Building Certified Static Analysers by Modular Construction of Well-founded Lattices
This paper presents fixpoint calculations on lattice structures as example of highly modular programming in a dependently typed functional language. We propose a library of Coq mo...
David Pichardie
PPL
2008
99views more  PPL 2008»
13 years 7 months ago
A Modular Implementation of Data Structures in Bulk-Synchronous Parallel ML
A functional data-parallel language called BSML has been designed for programming Bulk-Synchronous Parallel algorithms. Many sequential algorithms do not have parallel counterpart...
Frédéric Gava
FLAIRS
2009
13 years 5 months ago
Constraint-based Approach to Discovery of Inter Module Dependencies in Modular Bayesian Networks
This paper introduces an information theoretic approach to verification of modular causal probabilistic models. We assume systems which are gradually extended by adding new functi...
Patrick de Oude, Gregor Pavlin
COCO
2009
Springer
106views Algorithms» more  COCO 2009»
14 years 2 months ago
Increasing the Gap between Descriptional Complexity and Algorithmic Probability
The coding theorem is a fundamental result of algorithmic information theory. A well known theorem of G´acs shows that the analog of the coding theorem fails for continuous sample...
Adam R. Day