77 search results - page 6 / 16 » Modified genetic algorithm for nonlinear data reconciliation |
GECCO
2007
Springer
15 years 5 months ago
2007
Springer
Standard detection algorithms for nonlinearity linkage fail when applied to typical problems in the analysis of financial time-series data. We explain how this failure arises whe...
TSD
2010
Springer
14 years 9 months ago
2010
Springer
The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...
ICML
2006
IEEE
16 years 9 days ago
2006
IEEE
The problem of nonlinear dimensionality reduction is considered. We focus on problems where prior information is available, namely, semi-supervised dimensionality reduction. It is...
101
Voted
IJISTA
2007
14 years 11 months ago
2007
: Genetic Programming (GP), a heuristic optimisation technique based on the theory of Genetic Algorithms (GAs), is a method successfully used to identify non-linear model structure...
110
Voted
GECCO
2007
Springer
2007
Springer
Exploring medical data using visual spaces with genetic programming and implicit functional mappings
15 years 5 months ago
Two medical data sets (Breast cancer and Colon cancer) are investigated within a visual data mining paradigm through the unsupervised construction of virtual reality spaces using ...