Survival Analysis Using A Multi-Objective Evolutionary Algorithm

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{setzkorn:2005:CIMED,

• author = "C. Setzkorn and A. F. Taktak and B. E. Damato",
• title = "Survival Analysis Using A Multi-Objective Evolutionary Algorithm",
• booktitle = "Proceedings of the 2nd International Conference on Computational Intelligence in Medicine and Healthcare - CIMED",
• year = "2005",
• keywords = "genetic algorithms, genetic programming, evolutionary algorithms, survival analysis",
• pages = "224--230",
• address = "Costa da Caparica, Lisbon, Portugal",
• month = "29 " # jun # "-1 " # jul,
• broken = "http://repository.liv.ac.uk/id/eprint/1194537",
• abstract = "proposes a multi-objective evolutionary algorithm for the extraction of radial basis function networks from survival data. This type of artificial neural network has a simpler structure than, for example, the multi-layer perceptron, which has already been used for survival analysis. The simpler structure of radial basis function networks allows a faster model extraction and better interpretation of the parameters of the model. Multi-objective evolutionary algorithms have several advantages over other optimisation methods such as back-propagation. They can, for example, cope better with feature interactions and noisy data. Furthermore, they are capable of optimising several objectives. This is important in the context of model extraction, which is a multi-objective problem. It has at least two objectives, which are the extraction of (1) accurate and (2) simple models from data. Accurate models are required to achieve good predictions. Model simplicity is important to prevent overfitting, improve the transparency of the models, and to save computational resources. The proposed approach is applied to two datasets. The extracted models achieve good predictive performance.",
• notes = "CIMED2005 broken Aug 2018 http://www.uninova.pt/cimed2005/Programme%20Book.pdf",

}

Genetic Programming entries for C Setzkorn Azzam F G Taktak Bertil E Damato

Citations