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GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
13 years 5 months ago
Genetic programming for quantitative stock selection
We provide an overview of using genetic programming (GP) to model stock returns. Our models employ GP terminals (model decision variables) that are financial factors identified by...
Ying L. Becker, Una-May O'Reilly
SODA
2001
ACM
188views Algorithms» more  SODA 2001»
13 years 9 months ago
Approximation algorithms for the 0-extension problem
In the 0-extension problem, we are given a weighted graph with some nodes marked as terminals and a semimetric on the set of terminals. Our goal is to assign the rest of the nodes ...
Gruia Calinescu, Howard J. Karloff, Yuval Rabani
LISP
2008
165views more  LISP 2008»
13 years 7 months ago
Adapting functional programs to higher order logic
Higher-order logic proof systems combine functional programming with logic, providing functional programmers with a comfortable setting for the formalization of programs, specifica...
Scott Owens, Konrad Slind
AMAST
2010
Springer
13 years 2 months ago
Proving Termination Properties with mu-term
mu-term is a tool which can be used to verify a number of termination properties of (variants of) Term Rewriting Systems (TRSs): termination of rewriting, termination of innermost ...
Beatriz Alarcón, Raúl Gutiérr...
POPL
2007
ACM
14 years 8 months ago
Variance analyses from invariance analyses
An invariance assertion for a program location is a statement that always holds at during execution of the program. Program invariance analyses infer invariance assertions that ca...
Josh Berdine, Aziem Chawdhary, Byron Cook, Dino Di...