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AIPS
2008
13 years 10 months ago
Learning Heuristic Functions through Approximate Linear Programming
Planning problems are often formulated as heuristic search. The choice of the heuristic function plays a significant role in the performance of planning systems, but a good heuris...
Marek Petrik, Shlomo Zilberstein
ICFP
1998
ACM
14 years 21 days ago
Functional Differentiation of Computer Programs
We present a purely functional implementation of the computational differentiation tools — the well known numeric (i.e., not symbolic) techniques which permit one to compute poin...
Jerzy Karczmarczuk
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
14 years 3 days ago
Genetic programming with primitive recursion
When Genetic Programming is used to evolve arithmetic functions it often operates by composing them from a fixed collection of elementary operators and applying them to parameters...
Stefan Kahrs
VIROLOGY
2008
121views more  VIROLOGY 2008»
13 years 8 months ago
Constructing malware normalizers using term rewriting
A malware mutation engine is able to transform a malicious program to create a different version of the program. Such mutation engines are used at distribution sites or in self-pro...
Andrew Walenstein, Rachit Mathur, Mohamed R. Chouc...
EUC
2004
Springer
14 years 1 months ago
Construction of Distributed Object Group Framework and Its Execution Analysis Using Distributed Application Simulation
The Distributed Object Group Framework(DOGF) we constructed supports the grouping of distributed objects that are required for distributed application. From the DOGF, we manage dis...
Chang-Sun Shin, Chang-Won Jeong, Su-Chong Joo