Results 271 to 280 of about 18,441,004 (311)
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Genetic Programming in Economic Modelling
2005 IEEE Congress on Evolutionary Computation, 2005Typically, economists develop models by first selecting a model structure based on theoretical considerations and equilibrium conditions, followed by parameter estimation from available data. As more and more data become available about economic processes, the question arises whether it is possible to obtain models in which "data speak for themselves",
Korneel Duyvesteyn, Uzay Kaymak
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Issues in Mental Health Nursing, 1985
(1985). A Genetic Model of Anxiety. Issues in Mental Health Nursing: Vol. 7, No. 1-4, pp. 159-199.
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(1985). A Genetic Model of Anxiety. Issues in Mental Health Nursing: Vol. 7, No. 1-4, pp. 159-199.
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Empirical Modelling of Genetic Algorithms
Evolutionary Computation, 2001This paper addresses the problem of reliably setting genetic algorithm parameters for consistent labelling problems. Genetic algorithm parameters are notoriously difficult to determine. This paper proposes a robust empirical framework, based on the analysis of factorial experiments.
Richard Myers, Edwin R. Hancock
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Characteristics of genetic epidemiology and genetic models for vitiligo
Journal of the American Academy of Dermatology, 2004Vitiligo occurs with a frequency of 0.1% to 2% in various populations and is classified into several subtypes by its clinical presentation. Although genetic factors are thought to be involved in the cause of vitiligo, the genetic models for different phenotypes of vitiligo are unknown.Our purpose was to explore potential genetic models for different ...
Xue-Jun, Zhang +11 more
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Models of Genetic Recombination
Annual Review of Microbiology, 1974It will be my intention to compare established and recently proposed models for . genetic recombination, with special attention to the separate component principles they contain and the function ofthese principles in the various models. As increasing attention has been paid to realistic details of DNA structure and enzymology, recombination models have
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Adapting genetic regulatory models by genetic programming
Biosystems, 2004In this paper, we focus on the task of adapting genetic regulatory models based on gene expression data from microarrays. Our approach aims at automatic revision of qualitative regulatory models to improve their fit to expression data. We describe a type of regulatory model designed for this purpose, a method for predicting the quality of such models ...
R, Eriksson, B, Olsson
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Genetic models of schizophrenia
Acta Psychiatrica Scandinavica, 1982Multiple threshold models of inheritance are applied to a large sample of Franz Kallmann's (1938) pedigree data on schizophrenia. Paranoid and nonparanoid subtypes are represented in the models at different thresholds on a continuum of genetic‐environmental liability. Single major locus and multifactorial‐polygenic inheritance are ruled out as modes of
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Some Models of Genetic Selection
Biometrics, 1979This paper begins with a description of the classical theory of viability selection in which probabilities that individuals of various genotypes survive are in proportions that do not change with time and are independent of population structure. Salient features of viability selection with one and two loci are reviewed.
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Genetic algorithm for system modelling
2017 9th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2017The process of modeling of a real system usually implies an iterative approach where an initial model is incrementally modified in order to increase its accuracy with regard to available experimental data. Many approaches are discussed in the literature, among which some are based on Artificial Intelligence techniques.
Marius Olteanu +3 more
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Genetic modeling of feed intake
Journal of Animal Science, 2015ABSTRACT With the development of automatic self-feeders and electronic identification, automated, repeated measurements of individual feed intake (FI) and BW are becoming available in more species. Consequently, genetic models for longitudinal data need to be applied to study FI or related traits.
David, Ingrid +4 more
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