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1

1948-, Eav Bov Bang, Thompson Matthew K y Rocky Mountain Forest and Range Experiment Station (Fort Collins, Colo.), eds. Modeling initial conditions for root rot in forest stands: Random proportions. [Fort Collins, CO]: 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. 1 Oliver’s Yard, 55 City Road, London EC1Y 1SP United Kingdom: 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). 1 Oliver's Yard, 55 City Road, London EC1Y 1SP United Kingdom: 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). 1 Oliver's Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526499363.

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5

1941-, Hornung Ulrich, Kotelenez P. 1943-, Papanicolaou George y 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. Basel: Birkhäuser Verlag, 1991.

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6

Genuer, Robin y Jean-Michel Poggi. Random Forests with R. Cham: 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. New Delhi: 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. Bismarck, ND?]: U.S. Dept. of Agriculture, Forest Service, 2007.

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9

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

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10

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

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11

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

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12

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

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13

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

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14

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

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15

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

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16

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

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17

Cantoni, Virginio, Gabriele Falciasecca y Giuseppe Pelosi, eds. Storia delle telecomunicazioni. Florence: 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 fundamental forms of communication – telegraph (Maggi), telephone (Del Re) and radio (Falciasecca) – and ending with the contribution made by the Italian Navy to the development of telecommunications (Carulli, Pelosi, Selleri, Tiberio). The second section, on technical and scientific developments, presents the numerical processing of signals (Rocca), illustrating the genesis and metamorphosis of transmission (Pupolin, Benedetto, Mengali, Someda, Vannucchi), network packets (Marsan, Guadagni, Lenzini), photonics in telecommunications (Prati) and addresses the issue of research within the institutions (Fedi-Morello), dwelling in particular on the CSELT (Mossotto). The next section deals with the sectors of application, offering an overview of radio, television and the birth of digital cinema (Vannucchi, Visintin), military communications (Maestrini, Costamagna), the development of radar (Galati) and spatial telecommunications (Tartara, Marconicchio). Section four, on the organisation of the services and the role of industry, outlines the rise and fall of the telecommunications industries in Italy (Randi), dealing with the telecommunications infrastructures (Caroppo, Gamerro), the role of the providers in national communications (Gerarduzzi), the networks and the mobile and wireless services (Falciasecca, Ongaro) and finally taking a look towards the future from the perspective of the last fifty years (Vannucchi). The last section, dealing with training and dissemination, offers an array of food for thought: university training in telecommunications, with focus on the evolution of legislation and on the professional profiles (Roveri), social and cultural aspects (Longo and Crespellani) as well as a glance over the most important museums, collections and documentary sources for telecommunications in Italy (Lucci, Savini, Temporelli, Valotti). The book is designed to offer a compendium comprising different analytical approaches, and aims to foster an interest in technology in the new generations, in the hope of stimulating potentially innovative research.
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18

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

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19

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

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20

Conan, Doyle Arthur. The Great Adventures of Sherlock Holmes. 2a ed. London, England: Puffin Books, 1994.

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21

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

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22

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

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23

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

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24

Doyle, P. J. The Baker Street Dozen. New York, NY, USA: Congdon & Weed, 1989.

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25

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

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26

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

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27

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

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28

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

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29

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

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30

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

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31

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

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32

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

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33

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

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34

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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35

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

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36

Sohnesen, Thomas Pave y 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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37

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

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38

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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39

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

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40

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

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41

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

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42

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

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43

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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44

Hornung, U. y 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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45

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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46

HORNUNG, KOTELENZ y 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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47

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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48

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

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49

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

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50

Elwood, Mark. Combining results from several studies: systematic reviews and meta-analyses. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199682898.003.0009.

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This chapter explains systematic reviews, the PRISMA format, and meta-analysis. It discusses publication bias, outcome reporting bias, funnel plots, the issue of false positive results in small studies, along with search strategies, electronic databases, PubMed, and the Cochrane collaboration. It discusses the assessment of quality, risks of bias, limitations of meta-analysis, heterogeneity testing, effect modification, and meta-regression methods. In part two, it explains statistical methods for meta-analyses are presented, including the Mantel-Haenszel and Peto methods for individual patient data, the inverse variance weighted method using final results, and random effects methods. Forest plots and tests of heterogeneity are explained.
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