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Dissertations / Theses on the topic 'Bagging Forest'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Rosales, Martínez Octavio. "Caracterización de especies en plasma frío mediante análisis de espectroscopia de emisión óptica por técnicas de Machine Learning." Tesis de maestría, Universidad Autónoma del Estado de México, 2020. http://hdl.handle.net/20.500.11799/109734.

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La espectroscopía de emisión óptica es una técnica que permite la identificación de elementos químicos usando el espectro electromagnético que emite un plasma. Con base en la literatura. tiene aplicaciones diversas, por ejemplo: en la identificación de entes estelares, para determinar el punto final de los procesos de plasma en la fabricación de semiconductores o bien, específicamente en este trabajo, se tratan espectros para la determinación de elementos presentes en la degradación de compuestos recalcitrantes. En este documento se identifican automáticamente espectros de elementos tales como

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2

Булах, В. А., Л. О. Кіріченко, and Т. А. Радівілова. "Classification of Multifractal Time Series by Decision Tree Methods." Thesis, КНУ, 2018. http://openarchive.nure.ua/handle/document/5840.

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The article considers classification task of model fractal time series by the methods of machine learning. To classify the series, it is proposed to use the meta algorithms based on decision trees. To modeling the fractal time series, binomial stochastic cascade processes are used. Classification of time series by the ensembles of decision trees models is carried out. The analysis indicates that the best results are obtained by the methods of bagging and random forest which use regression trees.

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3

Assareh, Amin. "OPTIMIZING DECISION TREE ENSEMBLES FOR GENE-GENE INTERACTION DETECTION." Kent State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=kent1353971575.

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4

Yang, Kaolee. "A Statistical Analysis of Medical Data for Breast Cancer and Chronic Kidney Disease." Bowling Green State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1587052897029939.

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5

Zoghi, Zeinab. "Ensemble Classifier Design and Performance Evaluation for Intrusion Detection Using UNSW-NB15 Dataset." University of Toledo / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1596756673292254.

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6

Ulriksson, Marcus, and Shahin Armaki. "Analys av prestations- och prediktionsvariabler inom fotboll." Thesis, Uppsala universitet, Statistiska institutionen, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-324983.

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Uppsatsen ämnar att försöka förklara hur olika variabler angående matchbilden i en fotbollsmatch påverkar slutresultatet. Dessa variabler är uppdelade i prestationsvariabler och kvalitétsvariabler. Prestationsvariablerna är baserade på prestationsindikatorer inspirerat av Hughes och Bartlett (2002). Kvalitétsvariablerna förklarar hur bra de olika lagen är. Som verktyg för att uppnå syftet används olika klassificeringsmodeller utifrån både prestationsvariablerna och kvalitétsvariablerna. Först undersöktes vilka prestationsindikatorer som var viktigast. Den bästa modellen klassificerade cirka 60

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7

Alsouda, Yasser. "An IoT Solution for Urban Noise Identification in Smart Cities : Noise Measurement and Classification." Thesis, Linnéuniversitetet, Institutionen för fysik och elektroteknik (IFE), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-80858.

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Noise is defined as any undesired sound. Urban noise and its effect on citizens area significant environmental problem, and the increasing level of noise has become a critical problem in some cities. Fortunately, noise pollution can be mitigated by better planning of urban areas or controlled by administrative regulations. However, the execution of such actions requires well-established systems for noise monitoring. In this thesis, we present a solution for noise measurement and classification using a low-power and inexpensive IoT unit. To measure the noise level, we implement an algorithm for

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8

Thorén, Daniel. "Radar based tank level measurement using machine learning : Agricultural machines." Thesis, Linköpings universitet, Programvara och system, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176259.

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Agriculture is becoming more dependent on computerized solutions to make thefarmer’s job easier. The big step that many companies are working towards is fullyautonomous vehicles that work the fields. To that end, the equipment fitted to saidvehicles must also adapt and become autonomous. Making this equipment autonomoustakes many incremental steps, one of which is developing an accurate and reliable tanklevel measurement system. In this thesis, a system for tank level measurement in a seedplanting machine is evaluated. Traditional systems use load cells to measure the weightof the tank however

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9

Rosales, Elisa Renee. "Predicting Patient Satisfaction With Ensemble Methods." Digital WPI, 2015. https://digitalcommons.wpi.edu/etd-theses/595.

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Health plans are constantly seeking ways to assess and improve the quality of patient experience in various ambulatory and institutional settings. Standardized surveys are a common tool used to gather data about patient experience, and a useful measurement taken from these surveys is known as the Net Promoter Score (NPS). This score represents the extent to which a patient would, or would not, recommend his or her physician on a scale from 0 to 10, where 0 corresponds to "Extremely unlikely" and 10 to "Extremely likely". A large national health plan utilized automated calls to distribute such

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10

Feng, Wei. "Investigation of training data issues in ensemble classification based on margin concept : application to land cover mapping." Thesis, Bordeaux 3, 2017. http://www.theses.fr/2017BOR30016/document.

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La classification a été largement étudiée en apprentissage automatique. Les méthodes d’ensemble, qui construisent un modèle de classification en intégrant des composants d’apprentissage multiples, atteignent des performances plus élevées que celles d’un classifieur individuel. La précision de classification d’un ensemble est directement influencée par la qualité des données d’apprentissage utilisées. Cependant, les données du monde réel sont souvent affectées par les problèmes de bruit d’étiquetage et de déséquilibre des données. La marge d'ensemble est un concept clé en apprentissage d'ensemb

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11

Bernard, Simon. "Forêts aléatoires : de l’analyse des mécanismes de fonctionnement à la construction dynamique." Phd thesis, Rouen, 2009. http://www.theses.fr/2009ROUES011.

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Les travaux de cette thèse se situent dans le domaine de l’apprentissage automatique et concernent plus particulièrement la paramétrisation des forêts aléatoires, une technique d’ensembles de classifieurs utilisant des arbres de décision. Nous nous intéressons à deux paramètres importants pour l’induction de ces forêts : le nombre de caractéristiques choisies aléatoirement à chaque noeud et le nombre d’arbres. Nous montrons d’abord que la valeur du premier paramètre doit être choisie en fonction des propriétés de l’espace de description, et proposons dans ce cadre un nouvel algorithme nommé Fo

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12

Булах, В. А., Л. О. Кириченко та Т. А. Радивилова. "Сравнительный анализ классификации мультифрактальных временных рядов". Thesis, 2018. http://openarchive.nure.ua/handle/document/5777.

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В работе для определения принадлежности временного ряда к одному из классов были использованы методы Bagging и Random Forest. В каждом методе были задействованы ансамбли деревьев решений как классификации, так и регрессии. При использовании регрессионных деревьев решений результатом работы модели является вероятность соответствия мультифрактального каскада заданному классу. В зависимости от длины временного ряда и выбранного метода средняя вероятность предсказания класса изменяется в пределах (0.65, 0.93). Результаты показали, что использование регрессионных деревьев дает существенно бо

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13

Ganbayar, Otgonkhishig, and Otgonkhishig Ganbayar. "Predicting Credit Risk of Online Peer to Peer Lending by Applying Bagging and Random Forest Ensemble." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/2dr4te.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>106<br>In his research thesis, we aim to analyze credit risk of Online Peer-to-Peer (P2P) lending that is the platform where individuals and businesses lend or borrow money each other through internet without any financial institution like bank. Even though the P2P system gives borrowers and investors some advantages comparing to bank deposit, it faces with a risk of the loan that is not repaid. The Lending Club platform’s publicly available 2015- 2017 loan historical dataset is used in that research. The raw datasets are preprocessed with some filtering method of cl

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14

Lins, Stefan Martin. "Analyse und Vergleich des Modal Splits in den Jahren 2013 und 2018 auf Basis der SrV-Daten mithilfe von Random Forest." 2021. https://tud.qucosa.de/id/qucosa%3A74086.

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Der hohe Anteil des Verkehrs an den Gesamtemissionen, dem damit verbundenen Beitrag zum Klimawandel sowie der extensive Flächenverbrauch des Individualverkehrs verstärken die politischen Forderungen nach einer Verkehrswende. Das Ziel dieser Arbeit ist es, mithilfe ausführlich methodisch dargestellter Verfahren des maschinellen Lernens ein optimales Klassifikationsmodell zu entwickeln. Dieses ermöglicht die Evaluation und Prognose der Verkehrsmittelwahl und damit den Modal Split auf Basis verschiedener Einflussfaktoren insbesondere im Zeitverlauf zwischen 2013 und 2018. Bisherige Untersuchungen

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15

Λυπιτάκη, Αναστασία Δήμητρα Δανάη. "Μηχανική μάθηση σε ανομοιογενή δεδομένα". Thesis, 2014. http://hdl.handle.net/10889/8630.

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Οι αλγόριθμοι μηχανικής μάθησης είναι επιθυμητό να είναι σε θέση να γενικεύσουν για οποιασδήποτε κλάση με ίδια ακρίβεια. Δηλαδή σε ένα πρόβλημα δύο κλάσεων - θετικών και αρνητικών περιπτώσεων - ο αλγόριθμος να προβλέπει με την ίδια ακρίβεια και τα θετικά και τα αρνητικά παραδείγματα. Αυτό είναι φυσικά η ιδανική κατάσταση. Σε πολλές εφαρμογές οι αλγόριθμοι καλούνται να μάθουν από ένα σύνολο στοιχείων, το οποίο περιέχει πολύ περισσότερα παραδείγματα από τη μια κλάση σε σχέση με την άλλη. Εν γένει, οι επαγωγικοί αλγόριθμοι είναι σχεδιασμένοι να ελαχιστοποιούν τα σφάλματα. Ως συνέπεια οι κλάσεις π

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16

Rodríguez, Hernán Cortés. "Ensemble classifiers in remote sensing: a comparative analysis." Master's thesis, 2014. http://hdl.handle.net/10362/11671.

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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.<br>Land Cover and Land Use (LCLU) maps are very important tools for understanding the relationships between human activities and the natural environment. Defining accurately all the features over the Earth's surface is essential to assure their management properly. The basic data which are being used to derive those maps are remote sensing imagery (RSI), and concretely, satellite images. Hence, new techniques and methods able to deal with those data and at the

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17

Kandel, Ibrahem Hamdy Abdelhamid. "A comparative study of tree-based models for churn prediction : a case study in the telecommunication sector." Master's thesis, 2019. http://hdl.handle.net/10362/60302.

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Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Marketing Research e CRM<br>In the recent years the topic of customer churn gains an increasing importance, which is the phenomena of the customers abandoning the company to another in the future. Customer churn plays an important role especially in the more saturated industries like telecommunication industry. Since the existing customers are very valuable and the acquisition cost of new customers is very high nowadays. The companies want to know which

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