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ICML
1998
IEEE
14 years 9 months ago
Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach
Genetic Programming (GP) is a machine learning technique that was not conceived to use domain knowledge for generating new candidate solutions. It has been shown that GP can bene ...
Ricardo Aler, Daniel Borrajo, Pedro Isasi
ISDA
2009
IEEE
14 years 3 months ago
A Genetic Programming-Based Algorithm for Composing Web Services
—Web Services are interfaces that describe a collection of operations that are network-accessible through standardized web protocols. When a required operation is not found, seve...
Manuel Mucientes, Manuel Lama, Miguel I. Couto
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
14 years 3 months ago
Knowledge reuse in genetic programming applied to visual learning
We propose a method of knowledge reuse for an ensemble of genetic programming-based learners solving a visual learning task. First, we introduce a visual learning method that uses...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
CEC
2010
IEEE
13 years 10 months ago
Evolving cascades of voting feature detectors for vehicle detection in satellite imagery
We propose an evolutionary method for detection of vehicles in satellite imagery which involves a large number of simple elementary features and multiple detectors trained by genet...
Krzysztof Krawiec, Bartosz Kukawka, Tomasz Macieje...
EUROGP
2008
Springer
13 years 10 months ago
PlasmidPL: A Plasmid-Inspired Language for Genetic Programming
We present PlasmidPL, a plasmid-inspired programming language designed for Genetic Programming (GP), and based on a chemical metaphor. The basic data structures in PlasmidPL are ci...
Lidia Yamamoto