Geno 2 0
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Geno 2 0
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Author : Isaac Siwale
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-01-31
Geno 2 0 written by Isaac Siwale and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-31 with categories.
This book is a comprehensive description of a software product called GENO that has been successfully tested on real-life and artificial problems, and against well-known methods embedded in popular scientific computing packages. GENO-an acronym for 'General Evolutionary Numerical Optimizer'-is a versatile solver that may be used on an exceptionally wide range of numerical problems: one may use it to solve simultaneous equation systems of all types, or to solve various classes of static or dynamic optimization problems. The method is relatively unfettered because it does not require the problem at hand to have a special mathematical structure; it may also be set to generate real or integer-valued solutions, or a mixture of the two as required. The book begins with a generic statement of the mathematical model that underlies GENO's design together with brief statements on how to specialize the model (by mere choice of a few program parameters) so as to address specific problem types; it include a set of fully-worked examples that span the 'applicability spectrum' of GENO; and it ends with a set of appendices comprising: (i) an essay on the main numerical method employed by GENO-namely evolutionary search; (ii) a classification and index of the example programs that ship with the product; (iii) an 'applicability map' that vividly illustrates the relative advantage of GENO when compared to twenty other numerical solution methods that are currently available.
Multivariate Statistical Machine Learning Methods For Genomic Prediction
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Author : Osval Antonio Montesinos López
language : en
Publisher: Springer Nature
Release Date : 2022-02-14
Multivariate Statistical Machine Learning Methods For Genomic Prediction written by Osval Antonio Montesinos López and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-14 with Technology & Engineering categories.
This book is open access under a CC BY 4.0 license This open access book brings together the latest genome base prediction models currently being used by statisticians, breeders and data scientists. It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool. To do so, for each tool the book provides background theory, some elements of the R statistical software for its implementation, the conceptual underpinnings, and at least two illustrative examples with data from real-world genomic selection experiments. Lastly, worked-out examples help readers check their own comprehension.The book will greatly appeal to readers in plant (and animal) breeding, geneticists and statisticians, as it provides in a very accessible way the necessary theory, the appropriate R code, and illustrative examples for a complete understanding of each statistical learning tool. In addition, it weighs the advantages and disadvantages of each tool.
Geomatics For Green And Digital Transition
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Author : Enrico Borgogno-Mondino
language : en
Publisher: Springer Nature
Release Date : 2022-10-07
Geomatics For Green And Digital Transition written by Enrico Borgogno-Mondino and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-07 with Computers categories.
This book constitutes the proceedings of the 25th Italian Conference on Geomatics for Green and Digital Transition, ASITA 2022, held in Genova, Italy, in June 2022. The 33 full papers included in this book were carefully reviewed and selected from 60 submissions. They were organized in topical sections as follows: Positioning, Navigation and Operational Geodesy; Data exploitation: services and tools; Geo(big)data, GeoAnalytics, AI and Decision Support; Agriculture and Forestry; Cultural Heritage and Landscape Analysis; Environmental Monitoring and Analysis; and Sustainable Development and Climate Change.
Excellence3
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Author : Hartford Courant
language : en
Publisher: Sports Publishing LLC
Release Date : 2004
Excellence3 written by Hartford Courant and has been published by Sports Publishing LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Sports & Recreation categories.
Encyclopedia Of Television Shows
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Author : Vincent Terrace
language : en
Publisher: McFarland
Release Date : 2018-01-14
Encyclopedia Of Television Shows written by Vincent Terrace and has been published by McFarland this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-14 with Performing Arts categories.
This is a supplement to the author's Encyclopedia of Television Shows, 1925-2010. It covers 1,612 series broadcast between January 1, 2011, and December 31, 2016. Major networks--ABC, CBS, the CW, Fox and NBC--are covered along with many cable channels, such as AMC, Disney, Nickelodeon, Bravo, Lifetime, Discovery, TNT, Comedy Central and History Channel. Alphabetical entries provide storylines, casts, networks and running dates. A performer index is included.
Statistical Genetics
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Author : Benjamin Neale
language : en
Publisher: Garland Science
Release Date : 2007-11-30
Statistical Genetics written by Benjamin Neale and has been published by Garland Science this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-30 with Science categories.
Statistical Genetics is an advanced textbook focusing on conducting genome-wide linkage and association analysis in order to identify the genes responsible for complex behaviors and diseases. Starting with an introductory section on statistics and quantitative genetics, it covers both established and new methodologies, providing the genetic and statistical theory on which they are based. Each chapter is written by leading researchers, who give the reader the benefit of their experience with worked examples, study design, and sources of error. The text can be used in conjunction with an associated website (www.genemapping.org) that provides supplementary material and links to downloadable software.
The Statistics Of Gene Mapping
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Author : David Siegmund
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-05-27
The Statistics Of Gene Mapping written by David Siegmund and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-05-27 with Medical categories.
This book details the statistical concepts used in gene mapping, first in the experimental context of crosses of inbred lines and then in outbred populations, primarily humans. It presents elementary principles of probability and statistics, which are implemented by computational tools based on the R programming language to simulate genetic experiments and evaluate statistical analyses. Each chapter contains exercises, both theoretical and computational, some routine and others that are more challenging. The R programming language is developed in the text.
Human Migration
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Author : María de Lourdes Muñoz-Moreno
language : en
Publisher: Oxford University Press
Release Date : 2021-07-19
Human Migration written by María de Lourdes Muñoz-Moreno and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-19 with Social Science categories.
Studying human migratory patterns can help us make sense of evolution, biology, linguistics, and so much more. Human Migration takes readers through population development and their respective origins to create a comprehensive picture of human migratory patterns. This book explores human migration as a major contributor to globalization that facilitates gene flow and the exchange of cultures and languages. It also traces evolutionary success of a hybrid population, the Black Caribs, after their forced relocation from St. Vincent Island to the Bay Islands and Central America. The volume is split into four sections: Theoretical Overview; Ancient DNA and Migration; Regional Migration; Culture and Migration: and Disease and Migration. This division allows for a seamless transition between a broad range of topics, including molecular genetics, linguistics, cultural anthropology, history, archaeology, demography, and genetic epidemiology. Assembled by volume editors and migration specialists María de Lourdes Muñoz-Moreno and Michael H. Crawford, Human Migration creates an opportunity for researchers, professionals, and students from different fields to review and discuss the most recent trends and challenges surrounding migration, genetics, and anthropology.
Fruit Flashes
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Author : United States. Bureau of Agricultural Economics. Foreign Service Division
language : en
Publisher:
Release Date : 1931
Fruit Flashes written by United States. Bureau of Agricultural Economics. Foreign Service Division and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1931 with categories.
Machine Learning In Non Stationary Environments
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Author : Masashi Sugiyama
language : en
Publisher: MIT Press
Release Date : 2012
Machine Learning In Non Stationary Environments written by Masashi Sugiyama and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computers categories.
Dealing with non-stationarity is one of modem machine learning's greatest challenges. This book focuses on a specific non-stationary environment known as covariate shift, in which the distributions of inputs (queries) change but the conditional distribution of outputs (answers) is unchanged, and presents machine learning theory, algorithms, and applications to overcome this variety of non-stationarity.