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Constructive neural networks to predict breast cancer outco..:

, In: Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I,

Urda, Daniel ; Subirats, José Luis ; Franco, Leo. - p. 317-326 , 2010

Link: https://dl.acm.org/doi/10.5555/1945758.1945796

RT 
T1 <cTitle>Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I</cTitle>: T1 <Title>Constructive neural networks to predict breast cancer outcome by using gene expression profiles</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-1945796&Exemplar=1&LAN=DE
				
A1 Urda, Daniel
A1 Subirats, José Luis
A1 Franco, Leo
A1 Jerez, José Manuel
PB Springer-Verlag
YR 2010
K1 artificial neural networks
K1 breast cancer
K1 constructive neural networks
K1 gene expression profiles
K1 predictive modelling
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Machine learning theory
K1 Applied computing
K1 Life and medical sciences
K1 Systems biology
K1 Genetics
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Neural networks
K1 Hardware
K1 Emerging technologies
K1 Circuit substrates
K1 Cellular neural networks
SP 317
OP 326
LK http://dx.doi.org/https://dl.acm.org/doi/10.5555/1945758.1945796
DO https://dl.acm.org/doi/10.5555/1945758.1945796
SF ELIB - SuUB Bremen

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