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A model of selective migration [PDF]
Heredity, 1974 Individuals migrating between populations are normally assumed to be drawn at random from their base populations; migration is then a strong unifying force between the populations. Phenotypic assortment of migrants could however cause populations to diverge. A model is formulated to describe the effects of such selective migration on a metric character,
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Frontiers in Veterinary Science, 2017 Antimicrobial resistance in livestock is a matter of general concern. To develop hygiene measures and methods for resistance prevention and control, epidemiological studies on a population level are needed to detect factors associated with antimicrobial ...
Anke Hüls +8 more
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Source Model Selection for Deep Learning in the Time Series Domain
IEEE Access, 2020 Transfer Learning aims to transfer knowledge from a source task to a target task. We focus on a situation when there is a large number of available source models, and we are interested in choosing a single source model that can maximize the predictive ...
Amiel Meiseles, Lior Rokach
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Machine Learning Automatic Model Selection Algorithm for Oceanic Chlorophyll-a Content Retrieval
Remote Sensing, 2018 Ocean Color remote sensing has a great importance in monitoring of aquatic environments. The number of optical imaging sensors onboard satellites has been increasing in the past decades, allowing to retrieve information about various water quality ...
Katalin Blix, Torbjørn Eltoft
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Communications, 2018 In this paper, we consider the robust adaptive non parametric estimation problem for the periodic function observed with the Levy noises in continuous time.
Evgeny Pchelintsev +2 more
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Variable selection for the single index model [PDF]
, 2007 We consider variable selection in the single-index model. We prove that the popular leave-m-out crossvalidation method has different behaviour in the single-index model from that in linear regression models or nonparametric regression models.
Yingcun Xia +5 more
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ComputationPredicting corporate bankruptcy is a key task in financial risk management, and selecting a machine learning model with superior generalization performance is crucial for prediction accuracy.
Vlad Teodorescu +1 more
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Geosciences, 2019 Seabed sediment predictions at regional and national scales in Australia are mainly based on bathymetry-related variables due to the lack of backscatter-derived data. In this study, we applied random forests (RFs), hybrid methods of RF and geostatistics,
Jin Li +3 more
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An Introduction to Model Selection
Journal of Mathematical Psychology, 2000 This paper is an introduction to model selection intended for nonspecialists who have knowledge of the statistical concepts covered in a typical first (occasionally second) statistics course. The intention is to explain the ideas that generate frequentist methodology for model selection, for example the Akaike information criterion, bootstrap criteria,
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Modeling perspective for the relevant market of voice services: Mobile to Mobile
Maskana, 2015 The markets, associated to -mobile to mobile- services of voice, in Advanced Mobile Telecommunications services in Latin America have been subject to dominant operator regulatory processes, which are necessary to attain the market conditions for optimal ...
O. Lucía Quintero +2 more
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