Random Trees

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Random Generation Of Trees

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Author : Laurent Alonso
language : en
Publisher: Springer Science & Business Media
Release Date : 1994-12-31

Random Generation Of Trees written by Laurent Alonso 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 1994-12-31 with Computers categories.

Random Generation of Trees is about a field on the crossroads between computer science, combinatorics and probability theory. Computer scientists need random generators for performance analysis, simulation, image synthesis, etc. In this context random generation of trees is of particular interest. The algorithms presented here are efficient and easy to code. Some aspects of Horton--Strahler numbers, programs written in C and pictures are presented in the appendices. The complexity analysis is done rigorously both in the worst and average cases. Random Generation of Trees is intended for students in computer science and applied mathematics as well as researchers interested in random generation.

Tangled Trees

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Author : Roderic D. M. Page
language : en
Publisher: University of Chicago Press
Release Date : 2003

Tangled Trees written by Roderic D. M. Page and has been published by University of Chicago Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Biography & Autobiography categories.

In recent years, the use of molecular data to build phylogenetic trees and sophisticated computer-aided techniques to analyze them have led to a revolution in the study of cospeciation. Tangled Trees provides an up-to-date review and synthesis of current knowledge about phylogeny, cospeciation, and coevolution. The opening chapters present various methodological and theoretical approaches, ranging from the well-known parsimony approach to "jungles" and Bayesian statistical models. Then a series of empirical chapters discusses detailed studies of cospeciation involving vertebrate hosts and their parasites, including nematodes, viruses, and lice. Tangled Trees will be welcomed by researchers in a wide variety of fields, from parasitology and ecology to systematics and evolutionary biology. Contributors: Sarah Al-Tamimi, Michael A. Charleston, Dale H. Clayton, James W. Demastes, Russell D. Gray, Mark S. Hafner, John P. Huelsenbeck, J.-P. Hugot, Kevin P. Johnson, Peter Kabat, Bret Larget, Joanne Martin, Yannis Michalakis, Roderic D. M. Page, Ricardo L. Palma, Adrian M. Paterson, Susan L. Perkins, Andy Purvis, Bruce Rannala, David L. Reed, Fredrik Ronquist, Theresa A. Spradling, Jason Taylor, Michael Tristem

Random Forests With R

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Author : Robin Genuer
language : en
Publisher: Springer Nature
Release Date : 2020-09-10

Random Forests With R written by Robin Genuer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-10 with Mathematics categories.

This book offers an application-oriented guide to random forests: a statistical learning method extensively used in many fields of application, thanks to its excellent predictive performance, but also to its flexibility, which places few restrictions on the nature of the data used. Indeed, random forests can be adapted to both supervised classification problems and regression problems. In addition, they allow us to consider qualitative and quantitative explanatory variables together, without pre-processing. Moreover, they can be used to process standard data for which the number of observations is higher than the number of variables, while also performing very well in the high dimensional case, where the number of variables is quite large in comparison to the number of observations. Consequently, they are now among the preferred methods in the toolbox of statisticians and data scientists. The book is primarily intended for students in academic fields such as statistical education, but also for practitioners in statistics and machine learning. A scientific undergraduate degree is quite sufficient to take full advantage of the concepts, methods, and tools discussed. In terms of computer science skills, little background knowledge is required, though an introduction to the R language is recommended. Random forests are part of the family of tree-based methods; accordingly, after an introductory chapter, Chapter 2 presents CART trees. The next three chapters are devoted to random forests. They focus on their presentation (Chapter 3), on the variable importance tool (Chapter 4), and on the variable selection problem (Chapter 5), respectively. After discussing the concepts and methods, we illustrate their implementation on a running example. Then, various complements are provided before examining additional examples. Throughout the book, each result is given together with the code (in R) that can be used to reproduce it. Thus, the book offers readers essential information and concepts, together with examples and the software tools needed to analyse data using random forests.

Learning Opencv 3

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Author : Adrian Kaehler
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-12-14

Learning Opencv 3 written by Adrian Kaehler and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-14 with Computers categories.

"This book provides a working guide to the C++ Open Source Computer Vision Library (OpenCV) version 3.x and gives a general background on the field of computer vision sufficient to help readers use OpenCV effectively."--Preface.

Machine Learning

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Author : Steven W. Knox
language : en
Publisher: John Wiley & Sons
Release Date : 2018-04-17

Machine Learning written by Steven W. Knox and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-17 with Computers categories.

AN INTRODUCTION TO MACHINE LEARNING THAT INCLUDES THE FUNDAMENTAL TECHNIQUES, METHODS, AND APPLICATIONS PROSE Award Finalist 2019 Association of American Publishers Award for Professional and Scholarly Excellence Machine Learning: a Concise Introduction offers a comprehensive introduction to the core concepts, approaches, and applications of machine learning. The author—an expert in the field—presents fundamental ideas, terminology, and techniques for solving applied problems in classification, regression, clustering, density estimation, and dimension reduction. The design principles behind the techniques are emphasized, including the bias-variance trade-off and its influence on the design of ensemble methods. Understanding these principles leads to more flexible and successful applications. Machine Learning: a Concise Introduction also includes methods for optimization, risk estimation, and model selection— essential elements of most applied projects. This important resource: Illustrates many classification methods with a single, running example, highlighting similarities and differences between methods Presents R source code which shows how to apply and interpret many of the techniques covered Includes many thoughtful exercises as an integral part of the text, with an appendix of selected solutions Contains useful information for effectively communicating with clients A volume in the popular Wiley Series in Probability and Statistics, Machine Learning: a Concise Introduction offers the practical information needed for an understanding of the methods and application of machine learning. STEVEN W. KNOX holds a Ph.D. in Mathematics from the University of Illinois and an M.S. in Statistics from Carnegie Mellon University. He has over twenty years’ experience in using Machine Learning, Statistics, and Mathematics to solve real-world problems. He currently serves as Technical Director of Mathematics Research and Senior Advocate for Data Science at the National Security Agency.

Research Paper Rmrs

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Author :
language : en
Publisher:
Release Date : 1998

Research Paper Rmrs written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Forests and forestry categories.

Probability And Real Trees

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Author : Steven N. Evans
language : en
Publisher: Springer
Release Date : 2007-09-26

Probability And Real Trees written by Steven N. Evans and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-26 with Mathematics categories.

Random trees and tree-valued stochastic processes are of particular importance in many fields. Using the framework of abstract "tree-like" metric spaces and ideas from metric geometry, Evans and his collaborators have recently pioneered an approach to studying the asymptotic behavior of such objects when the number of vertices goes to infinity. This publication surveys the relevant mathematical background and present some selected applications of the theory.

Complex Networks

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Author : Eli Ben-Naim
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-09-01

Complex Networks written by Eli Ben-Naim 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 2004-09-01 with Science categories.

This volume is devoted to the applications of techniques from statistical physics to the characterization and modeling of complex networks. The first two parts of the book concern theory and modeling of networks, the last two parts survey applications to a wide variety of natural and artificial networks. The tutorial reviews that form this book are aimed at students and newcomers to the field, and will also constitute a modern and comprehensive reference for experts. To this aim, all contributions have been carefully peer-reviewed not only for scientific content but also for self-consistency and readability.

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Author :
language : en
Publisher: IOS Press
Release Date :

written by and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.

Stochastic Processes Modeling And Simulation

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Author : D N Shanbhag
language : en
Publisher: Gulf Professional Publishing
Release Date : 2003-02-24

Stochastic Processes Modeling And Simulation written by D N Shanbhag and has been published by Gulf Professional Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-02-24 with Computers categories.

This sequel to volume 19 of Handbook on Statistics on Stochastic Processes: Modelling and Simulation is concerned mainly with the theme of reviewing and, in some cases, unifying with new ideas the different lines of research and developments in stochastic processes of applied flavour. This volume consists of 23 chapters addressing various topics in stochastic processes. These include, among others, those on manufacturing systems, random graphs, reliability, epidemic modelling, self-similar processes, empirical processes, time series models, extreme value therapy, applications of Markov chains, modelling with Monte Carlo techniques, and stochastic processes in subjects such as engineering, telecommunications, biology, astronomy and chemistry. particular with modelling, simulation techniques and numerical methods concerned with stochastic processes. The scope of the project involving this volume as well as volume 19 is already clarified in the preface of volume 19. The present volume completes the aim of the project and should serve as an aid to students, teachers, researchers and practitioners interested in applied stochastic processes.