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Books on the topic 'Random forest'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

1948-, Eav Bov Bang, Thompson Matthew K, and Rocky Mountain Forest and Range Experiment Station (Fort Collins, Colo.), eds. Modeling initial conditions for root rot in forest stands: Random proportions. USDA Forest Service, Rocky Mountain Forest and Range Experiment Station, 1993.

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2

Grzeszczyk, Tadeusz. Using the Random Forest-Based Research Method for Prioritizing Project Stakeholders. SAGE Publications Ltd, 2023. http://dx.doi.org/10.4135/9781529669404.

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3

Shi, Feng. Learn About Random Forest in R With Data From the Adult Census Income Dataset (1996). SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526495464.

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4

Shi, Feng. Learn About Random Forest in Python With Data From the Adult Census Income Dataset (1996). SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526499363.

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5

1941-, Hornung Ulrich, Kotelenez P. 1943-, Papanicolaou George, and Conference on "Random Partial Differential Equations" (1989 : Mathematic Research Institute at Oberwolfach), eds. Random partial differential equations: Proceedings of the conference held at the Mathematical Research Institute at Oberwolfach, Black Forest, November 19-25, 1989. Birkhäuser Verlag, 1991.

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6

Genuer, Robin, and Jean-Michel Poggi. Random Forests with R. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-56485-8.

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7

Bedi, R. S. Random thoughts: National security and current issues. Lancer's Books, 2006.

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8

Service, United States Forest. Noxious weed management project: Dakota Prairie grasslands : Billings, Slope, Golden Valley, Sioux, Grant, McHenry, McKenzie, Ransom and Richland counties in North Dakota, Corson, Perkins and Ziebach counties in South Dakota. U.S. Dept. of Agriculture, Forest Service, 2007.

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9

Clifton, Richard. A random soldier: The words he left behind. Eastwind Press, 2007.

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10

Bessonov, Aleksey. The study of criminal activity using artificial intelligence. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2195488.

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The monograph describes the technology of building digital crime models, including the preparation of data on criminal acts for study using mathematical statistics and artificial intelligence methods, the features of studying such data through various artificial intelligence methods, including neural networks, gradient boosting, decision trees, random forest, clustering, etc. Special attention is paid to the use of mathematical statistics and artificial intelligence methods in the study of serial crimes in science and practice. It is intended for scientists and practitioners of law enforcement

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11

S, Pototzky Anthony, and Langley Research Center, eds. On the relationship between matched filter theory as applied to gust loads and phased design loads analysis. National Aeronautics and Space Administration, Langley Research Center, 1989.

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12

Ravi, Margasahayam, and John F. Kennedy Space Center., eds. Validation of a deterministic vibroacoustic response prediction model. National Aeronautics and Space Administration, John F. Kennedy Space Center, 1997.

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13

Ravi, Margasahayam, and John F. Kennedy Space Center., eds. Validation of a deterministic vibroacoustic response prediction model. National Aeronautics and Space Administration, John F. Kennedy Space Center, 1997.

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14

United States. Department of Defense. Office of the Secretary of Defense and Rand Corporation, eds. Sexual orientation and U.S. military personnel policy: An update of RAND's 1993 study. Rand Corporation, 2010.

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15

Rothenberg, Jeff. The RAND Advanced Simulation Language project's declarative modeling formalism (DMOD). Rand, 1994.

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16

Conan, Doyle Arthur. The adventure of the Priory School: A facsimile of the original manuscript in the Marvin P. Epstein Sherlock Holmes collection. Santa Teresa Press, 1985.

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17

K, Russell Alan, ed. The Book of the Sleuth: Fourteen classic tales of mystery & suspense. New Orchard Editions, 1986.

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18

Cantoni, Virginio, Gabriele Falciasecca, and Giuseppe Pelosi, eds. Storia delle telecomunicazioni. Firenze University Press, 2011. http://dx.doi.org/10.36253/978-88-6453-245-5.

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Focusing on the history of scientific and technological development over recent centuries, the book is dedicated to the history of telecommunications, where Italy has always been in the vanguard, and is presented by many of the protagonists of the last half century. The book is divided into five sections. The first, dealing with the origins, starts from the scientific bases of the evolution of telecommunications in the nineteenth century (Bucci), addressing the developments of scientific thought that led to the revolution of the theory of fields (Morando), analysing the birth of the three fund

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19

Conan, Doyle Arthur. The Bedside Conan Doyle: Classics for Pleasure. Chancellor Press, 1993.

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20

Conan, Doyle Arthur. The Great Adventures of Sherlock Holmes. Penguin Publishing, 2010.

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21

Conan, Doyle Arthur. The Great Adventures of Sherlock Holmes. 2nd ed. Puffin Books, 1994.

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22

Conan, Doyle A. Great Adventures of Sherlock Holmes. Puffin Books, 1990.

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23

Conan, Doyle Arthur. The Baker Street dozen. Congdon & Weed, 1989.

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24

Conan, Doyle Arthur. The Baker Street dozen. Congdon & Weed, 1987.

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25

Doyle, P. J. The Baker Street Dozen. Congdon & Weed, 1989.

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26

Conan, Doyle Arthur. Favourite Sherlock Holmes Stories. Atlantic Books, 2009.

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27

Chakraborty, Suvadip. Almost Lost You in Random Forest. White Falcon Publishing, 2022.

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28

Random Lengths Yearbook, 2004: Forest Product Market Prices and Statistics (Random Lengths Yearbook). Random Lengths Pubns, 2005.

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29

Random Lengths Yearbook 2005: Forest Product Market Prices and Statistics (Random Lengths Yearbook). Random Lengths Pubns, 2006.

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30

Lengths, Random. Random Lengths Yearbook 2006: Forest Product Market Prices and Statistics (Random Lengths Yearbook). Random Lengths Pubns, 2007.

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31

Long, Bernard, Eric Robson, and Michael Chinery. Forest Animals (Random House Tell Me About Book). Random House Childrens Books, 1993.

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32

Miller, Sue. Lost in the Forest (Random House Large Print). Random House Large Print, 2005.

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33

Data Scientist Random Forest Data Science Mining Analyst. Independently Published, 2022.

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34

Random Lengths Yearbook, 1999: Forest Product Market Prices and Statistics. Random Lengths Pubns, 2000.

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35

Critelli, Christian. Machine Learning : How Decision Trees Work and How They Can Be Combined into a Random Forest: Random Forests and Decision Trees Comparison. Independently Published, 2021.

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36

Bartel, David R. Random Lengths 1990 Directory: A Buyers' and Sellers' Guide to the Forest Products Industry (Random Lengths Directory). 4th ed. Random Lengths Pubns, 1990.

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37

Sohnesen, Thomas Pave, and Niels Stender. Is Random Forest a Superior Methodology for Predicting Poverty? An Empirical Assessment. World Bank, Washington, DC, 2016. http://dx.doi.org/10.1596/1813-9450-7612.

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38

Machine learning Beginners Guide Algorithms: Supervised & Unsupervised learning, Decision Tree & Random Forest Introduction. CreateSpace Independent Publishing Platform, 2017.

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39

Anderson, Jon P. Random Lengths Buyers' and Sellers' Guide, 1993: A Directory of the Forest Products Industry. Random House Trade, 1993.

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40

Alverio, Taryn. Machine Learning Guide : Instructing Neural Networks, Decision Trees, Random Forest, and Algorithms: Neural Network Definition. Independently Published, 2021.

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41

Vidales, A. Machine Learning with Matlab. Supervised Learning: Knn Classifiers, Ensemble Learning, Random Forest, Boosting and Bagging. Independently Published, 2019.

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42

Pavlov, Yu L. Random Forests. Brill Academic Publishers, 2000.

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43

Pavlov, Yu L. Random Forests. De Gruyter, Inc., 2019.

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44

Alexander, Susan J. Applying random utility modeling to recreational fishing in Oregon: Effects of forest management alternatives on steelhead production in the Elk River watershed. 1995.

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45

Hornung, U., and P. Kotelenez. Random Partial Differential Equations: Proceedings of the Conference Held at the Mathematical Research Institute at Oberwolfach, Black Forest, Novem. Birkhauser, 1991.

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46

López, César Pérez. DATA MINING and MACHINE LEARNING. PREDICTIVE TECHNIQUES : ENSEMBLE METHODS, BOOSTING, BAGGING, RANDOM FOREST, DECISION TREES and REGRESSION TREES.: Examples with MATLAB. Lulu Press, Inc., 2021.

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47

HORNUNG, KOTELENZ, and PAPANICOLAOU. Random Partial Differential Equations: Proceedings of the Conference Held at the Mathematical Research Institute at Oberwolfach, Black Forest, November 19-25 1989. Birkhauser Verlag, 2013.

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48

Random Partial Differential Equations: Proceedings of the Conference Held at the Mathematical Research Institute at Oberwolfach, Black Forest, November 19-25 1989. Birkhauser, 2014.

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49

Poggi, Jean-Michel, and Robin Genuer. Random Forests with R. Springer International Publishing AG, 2020.

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50

Poggi, Jean‐Michel. Random Forests with R. 2020.

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