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GPEM
2011
15 years 1 months ago
Expert-driven genetic algorithms for simulating evaluation functions
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function’s parameters for computer chess. Our results show that using an appropr...
Omid David-Tabibi, Moshe Koppel, Nathan S. Netanya...
BMCBI
2008
139views more  BMCBI 2008»
15 years 7 months ago
A topological transformation in evolutionary tree search methods based on maximum likelihood combining p-ECR and neighbor joinin
Background: Inference of evolutionary trees using the maximum likelihood principle is NP-hard. Therefore, all practical methods rely on heuristics. The topological transformations...
Maozu Guo, Jian-Fu Li, Yang Liu
NDSS
2003
IEEE
16 years 3 days ago
Moderately Hard, Memory-Bound Functions
A resource may be abused if its users incur little or no cost. For example, e-mail abuse is rampant because sending an e-mail has negligible cost for the sender. It has been sugge...
Martín Abadi, Michael Burrows, Ted Wobber

Book
630views
17 years 5 months ago
Introduction to Functional Programming
"These are the lecture notes accompanying the course Introduction to Functional Programming, which I taught at Cambridge University in the academic year 1996/1997."
John Harrison
LICS
2007
IEEE
16 years 1 months ago
A computable approach to measure and integration theory
We introduce a computable framework for Lebesgue’s measure and integration theory in the spirit of domain theory. For an effectively given second countable locally compact Hausd...
Abbas Edalat