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GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
15 years 4 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
LISP
1998
88views more  LISP 1998»
15 years 6 months ago
Visualizing Evaluation in Scheme
Abstract. RainbowScheme is a visual stepping system that presents Scheme program’s runtime state using icons, colored environment trees, and colored Scheme code. A Scheme program...
Sho-Huan Simon Tung
ICPR
2008
IEEE
16 years 8 months ago
Evolving boundary detectors for natural images via Genetic Programming
Boundary detection constitutes a crucial step in many computer vision tasks. We present a novel learning approach to automatically construct a boundary detector for natural images...
Ilan Kadar, Moshe Sipper, Ohad Ben-Shahar
MICRO
2009
IEEE
113views Hardware» more  MICRO 2009»
16 years 1 months ago
Portable compiler optimisation across embedded programs and microarchitectures using machine learning
Building an optimising compiler is a difficult and time consuming task which must be repeated for each generation of a microprocessor. As the underlying microarchitecture changes...
Christophe Dubach, Timothy M. Jones, Edwin V. Boni...
ISSRE
2008
IEEE
16 years 1 months ago
Automated Generation of Pointcut Mutants for Testing Pointcuts in AspectJ Programs
Aspect-Oriented Programming (AOP) provides new modularization of software systems by encapsulating crosscutting concerns. AspectJ, an AOP language, uses abstractions such as point...
Prasanth Anbalagan, Tao Xie