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GECCO
2009
Springer
107views Optimization» more  GECCO 2009»
15 years 11 months ago
Evolving distributed algorithms with genetic programming: election
In this paper, we present a detailed analysis of the application of Genetic Programming to the evolution of distributed algorithms. This research field has many facets which make...
Thomas Weise, Michael Zapf
IUI
1999
ACM
15 years 11 months ago
Programming by Demonstration: An Inductive Learning Formulation
Although Programming by Demonstration (PBD) has the potential to improve the productivity of unsophisticated users, previous PBD systems have used brittle, heuristic, domain-speci...
Tessa A. Lau, Daniel S. Weld
BMCBI
2006
127views more  BMCBI 2006»
15 years 7 months ago
Automatic discovery of cross-family sequence features associated with protein function
Background: Methods for predicting protein function directly from amino acid sequences are useful tools in the study of uncharacterised protein families and in comparative genomic...
Markus Brameier, Josien Haan, Andrea Krings, Rober...
PPDP
2009
Springer
16 years 1 months ago
Dependent type inference with interpolants
We propose a novel type inference algorithm for a dependentlytyped functional language. The novel features of our algorithm are: (i) it can iteratively refine dependent types wit...
Hiroshi Unno, Naoki Kobayashi
IJCNN
2008
IEEE
16 years 1 months ago
A quantum calculus formulation of dynamic programming and ordered derivatives
— Much recent research activity has focused on the theory and application of quantum calculus. This branch of mathematics continues to find new and useful applications and there ...
John Seiffertt, Donald C. Wunsch