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IJCAI
2003
13 years 10 months ago
A Planning Algorithm for Predictive State Representations
We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...
Masoumeh T. Izadi, Doina Precup
GECCO
2004
Springer
118views Optimization» more  GECCO 2004»
14 years 2 months ago
Adapting Representation in Genetic Programming
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees....
Cezary Z. Janikow
COMPSAC
2007
IEEE
14 years 3 months ago
A model-driven framework for representing and applying design patterns
Design patterns encode proven solutions to recurring design problems. To use a design pattern properly, we need to 1) understand the design problem the pattern resolves, 2) recogn...
Ghizlane El-Boussaidi, Hafedh Mili
GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
13 years 10 months ago
A genetic programming approach to business process mining
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
Chris J. Turner, Ashutosh Tiwari, Jörn Mehnen
IJSNET
2007
91views more  IJSNET 2007»
13 years 8 months ago
Optimal dynamic actuator location in distributed feedback control of a diffusion process
— In this paper, the problem of distributed neutralization of toxic 2D diffusion process is discussed. The diffusion process is modelled by a parabolic PDE system. A group of mob...
Yangquan Chen, Zhongmin Wang, Jinsong Liang