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Evolution of Covariance Functions for Gaussian Process Regression using Genetic Programming
Gaussian Process Genetic Programming Structure Identification
2013/6/14
In this contribution we describe an approach to evolve composite covariance functions for Gaussian processes using genetic programming. A critical aspect of Gaussian processes and similar kernel-based...
Meta-Genetic Programming: Co-evolving the Operators of Variation
genetic programming automatic programming genetic operators
2009/7/27
The standard Genetic Programming approach is augmented by co-evolving the genetic operators. To do this the operators are coded as trees of indefinite length. In order for this technique to work, the ...
Learning Ranking Functions for Geographic Information Retrieval Using Genetic Programming
Geographic Information Retrieval Ranking Evaluation Genetic Programming Geo graphic metadata
2014/3/11
Geographic Information Retrieval (GIR) has emerged as a new and promising tool for representation, storage, organisation of and access to geographic information. One of the current issues in GIR resea...