Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 26 for “"Classification and regression trees"”.
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Flächenhafte Schätzung mit Classification and Regression Trees und robuste Gütebestimmung ökologischer Parameter in einem kleinen Einzugsgebiet
… nicht oder nur mit unverhältnismäßig hohem Aufwand durch flächenhafte Aufnahmen und Messungen, z. B. mit Fernerkundungsverfahren ermitteln. Ihre räumliche Bereitstellung ist nur mit Hilfe von Schätzverfahren möglich. Manche Variablen lassen sich nicht mit modernen Interpolationsverfahren, wie z. …
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Performance Evaluation of Logistic Regression, Linear Discriminant Analysis, and Classification and Regression Trees Under Controlled Conditions
<p>Logistic Regression (LR), Linear Discriminant Analysis (LDA), and Classification and Regression Trees (CART) are common classification techniques for prediction of group membership. Since these methods are applied for similar purposes with different procedures, it is important to evaluate the …
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Agricultural Land Use and the Eastern Cottontail in Illinois
… cottontail (Sylvilagus floridanus) in Illinois and (2) determine the movements, home range, and habitat selection of cottontails in an intensively farmed region of Illinois. The county level index for cottontail abundance was related to 13 agricultural land use variables for 1956-69 and 1982-89, …
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Topics in Tree-Based Methods
This work introduces methods and associated software for enhancing the interpretability of fitted models, with emphasis on classification and regression trees. We begin in Chapter 1 by describing novel techniques for growing classification and regression trees designed to induce visually …
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Application of Machine Learning Techniques for Real-time Classification of Sensor Array Data
… Neighbor (KNN), Support Vector Machine (SVM), Classification and Regression Trees (CART), Random Forest (RF), Naïve Bayes Classifier (NB), and Principal Component Regression (PCR). A total of 10 predictors that are associated with the response from 10 sensor channels are used to train and test …
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ANALYZING AND PREDICTING ARMY COMBAT FITNESS TEST PERFORMANCE: A STATISTICAL AND MACHINE LEARNING APPROACH
… fitness as critical to operational readiness and transitioned from the Army Physical Fitness Test (APFT) to the Army Combat Fitness Test to reflect modern combat demands better and minimize injuries. This thesis applies machine learning techniques—including Logistic Regression (LR), Support …
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A comparative analysis of non-linear techniques in South African stock selection
… the interactions among company-specific factors and its stock market re- turns in time have become less suited for capturing the movements of the stock market. Hence, attempts to predict the performance of a stock have become associated with additional layers of complexity. This has led to the …
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Marine alien species in Western Cape harbours, South Africa: A tool for stategically focusing monitoring efforts
… water, hull fouling, aquaculture facilities and the aquarium and pet trade. Ballast water has previously been considered as the primary vector of alien species transfer. However, fouling is becoming widely recognised as an important vector for the transfer of marine alien species both …
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Visualizing mixed variable-type multidimensional data using tree distances
… the use of the tree distances of Buttrey and Whitaker to visualize multidimensional data of mixed-variable types, having both numerical and categorical data. Tree distances measure dissimilarities among observations in a data set while exploiting desirable properties of classification and …
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An intelligent diagnostic system for screening newborns
The goal of this research is to devise and develop an intelligent system for analyzing heart sound signals, able to support physicians in the diagnosis of heart diseases in newborns. Many studies have been conducted in recent years to automatically differentiate normal heart sounds from heart …
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Statistical Methods for Biological and Relational Data
Methods for biological and relational data have pose challenges for statistical modeling. For biological data, gene expression data have high-dimensionality, and T-cell receptor (TCR) data under-sample receptor populations. For relational data, there are dependencies among the observations. This …
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Phänotypische Differenzierung und Schweregradbestimmung des Post-Covid-19-Syndroms
… COVIDOM-Studie (NAPKON-POP) rekrutiert Probanden 6-12 Monate nach einer PCR- bestätigten SARS-CoV-2-Infektion an drei Studienzentren in Deutschland: Kiel, Berlin-Neukölln und Würzburg. Auf der Grundlage der dabei erhobenen Studiendaten waren der PCS-Score entwickelt und seine statistisch …
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The introduction and application of recursive partitioning methods in organizational science
Traditionally, multiple linear regression has been widely used in the field of organizational science for predictive modeling. Despite its pervasive use, the classical regression model falls short in several aspects, including the lack of flexibility in handling complex nonlinear relationships and …
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Not All Biomass is Created Equal: An Assessment of Social and Biophysical Factors Constraining Wood Availability in Virginia
… collective wood harvesting decisions across the landscape. Both social and biophysical constraints impact harvesting decisions and thus the availability of wood resources. While most constraints do not completely inhibit harvesting, they may significantly reduce the probability of harvest. …
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Comparative Analysis of Machine Learning Algorithms on Activity Recognition from Wearable Sensors’ MHEALTH dataset Supported with a Comprehensive Process and Development of an Analysis Tool
… in the fields of healthcare, wellbeing and smart environments. This research is also focussed on predictive performance comparison of machine learning algorithms for activity recognition from wearable sensors’ (MHEALTH) data while employing a comprehensive process. The framework is …
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Dynamic prediction of terminal-area severe convective weather penetration
Despite groundbreaking technology and revised operating procedures designed to improve the safety of air travel, numerous aviation accidents still occur every year. According to a recent report by the FAA's Aviation Weather Research Program, over 23% of these accidents are weather-related, …
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The role of clinical, biological, and socioeconomic factors on the development of resilience in women with autorimmune rheumatic diseases : a cross-sectional study
… a “continuum” process, long-term stressors and psychosocial factors are thought to be crucial for resilience development, especially in those patients with chronic inflammatory systemic diseases. However, the role of clinical, biological and socioeconomic characteristics in autoimmune …
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Morpho-colorimetric and non-parametric analysis in statistical classification of vascular flora
… objects by methods of morpho-colorimetric and non-parametric statistical analysis. The study can be applied in botany where manual classification of seeds is still a common practice. It is labor-intensive, subjective, and suffers from contradiction, as well as it is a time-consuming task …
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Modelling the current and potential distribution of woody plants, with special emphasis on the importance of spatial scale and environmental factors
The relationship between species distribution and environment has always been a central issue in ecology. The primary aim of this thesis is to explore the role of abiotic and biotic factors in mediating the distribution of woody plants, particularly invasive alien species. Predictions of the future …
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Empirical study and business model analysis of successful freemium strategies in digital products
… has become a popular business model for digital and internet startups to acquire customers quickly and monetize with limited marketing resources. In this model, basic functionalities and features of the product are offered free of cost and advanced features are monetized. Typically firms rely on …
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