Grant Dick
YOU?
Author Swipe
View article: SRBench++: Principled Benchmarking of Symbolic Regression With Domain-Expert Interpretation
SRBench++: Principled Benchmarking of Symbolic Regression With Domain-Expert Interpretation Open
Symbolic regression searches for analytic expressions that accurately describe studied phenomena. The main promise of this approach is that it may return an interpretable model that can be insightful to users, while maintaining high accura…
View article: An ensemble learning interpretation of geometric semantic genetic programming
An ensemble learning interpretation of geometric semantic genetic programming Open
Geometric semantic genetic programming (GSGP) is a variant of genetic programming (GP) that directly searches the semantic space of programs to produce candidate solutions. GSGP has shown considerable success in improving the performance o…
View article: An Ensemble Learning Interpretation of Geometric Semantic Genetic Programming
An Ensemble Learning Interpretation of Geometric Semantic Genetic Programming Open
Geometric semantic genetic programming (GSGP) is a variant of genetic programming (GP) that directly searches the semantic space of programs to produce candidate solutions. GSGP has shown considerable success in improving the performance o…
View article: SEmHuS: a semantically embedded humanitarian space
SEmHuS: a semantically embedded humanitarian space Open
Humanitarian crises are unpredictable and complex environments, in which access to basic services and infrastructures is not adequately available. Computing in a humanitarian crisis environment is different from any other environment. In h…
View article: Initialisation and Grammar Design in Grammar-Guided Evolutionary Computation
Initialisation and Grammar Design in Grammar-Guided Evolutionary Computation Open
Grammars provide a convenient and powerful mechanism to define the space of possible solutions for a range of problems. However, when used in grammatical evolution (GE), great care must be taken in the design of a grammar to ensure that th…
View article: Interval Arithmetic and Interval-Aware Operators for Genetic Programming
Interval Arithmetic and Interval-Aware Operators for Genetic Programming Open
Symbolic regression via genetic programming is a flexible approach to machine learning that does not require up-front specification of model structure. However, traditional approaches to symbolic regression require the use of protected ope…
View article: Network rewiring dynamics with convergence towards a star network
Network rewiring dynamics with convergence towards a star network Open
Network rewiring as a method for producing a range of structures was first introduced in 1998 by Watts & Strogatz ( Nature 393 , 440–442. ( doi:10.1038/30918 )). This approach allowed a transition from regular through small-world to a rand…