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Showing 1 to 20 of 69 for “"Regression Trees"”.

  1. Flächenhafte Schätzung mit Classification and Regression Trees und robuste Gütebestimmung ökologischer Parameter in einem kleinen Einzugsgebiet

    Schillinger, Marco PatrickUniversität Bayreuth

    … Fehlertypen robust sind. Classification and regression trees (CART) stellen ein Verfahren dar, mit dem sowohl nominalskalierte als auch stetige Zielgrößen auf der Basis von erklärenden Variablen geschätzt werden können. Dabei können die erklärenden Variablen unterschiedlichen Skalentypen …

    bayreuth Repository record

  2. Performance Evaluation of Logistic Regression, Linear Discriminant Analysis, and Classification and Regression Trees Under Controlled Conditions

    Polat, Cahit2018

    <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 …

    denver Repository record

  3. Partitioning of multivariate phenotypes using regression trees reveals complex patterns of adaptation to climate across the range of black cottonwood (Populus trichocarpa)

    Oubida, Regis WendpouireVirginia Tech2014

    Local adaptation to climate in temperate forest trees involves the integration of multiple physiological, morphological, and phenological traits. Latitudinal clines for the relevant component traits are frequently observed for species that have a north-south distribution, but these relationships do …

    vt Repository record

  4. Analysis of predictive factors for fully mission capable rates of deployed aircraft

    Moore, Patricia B.Monterey, California. Naval Postgraduate School1998

    … thesis evaluates the capabilities of logistic regression and regression trees in predicting aircraft readiness for a specific carrier deployment or aircraft type/model/series (TMS). The data are taken from observations of squadrons by aircraft TMS by month from 1981 through 1997. Empirical …

    nps Repository record

  5. Agricultural Land Use and the Eastern Cottontail in Illinois

    Mankin, Philip CurtisUniversity of Illinois at Urbana-Champaign2014

    … for 1956-69 and 1982-89, using logistic regression and CART (classification and regression trees) models.

    uiuc Repository record

  6. Kredito rizikos prognozavimas naudojantis mašininio mokymosi algoritmu ,,XGboost" /

    Norkus, Domantas,Institutional Repository of Vilnius University2020

    … theoretical background, analysing how regression and regularization functions behave in tree space. Thus, methods for analysing model performence will be introduced and explained. From practical perspective, will try to set up explained algorithm for given prediction problem and solve …

    vilnius Repository record

  7. Topics in Tree-Based Methods

    Goldstein, Alex Lauf2014

    … 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 interpretable trees. This is achieved by penalizing splits that extend the subset of features used in …

    penn Repository record

  8. Application of Machine Learning Techniques for Real-time Classification of Sensor Array Data

    Li, Sichu

    … 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 the classifiers. A …

    uno Repository record

  9. Utilizing data mining techniques and ensemble learning to predict development of surgical site infections in gynecologic cancer patients

    McDonough, John R

    … Implemented techniques include logistic regression, naive Bayes, recursive partitioning and regression trees, random forest, feed forward neural network, k-nearest neighbor, and support vector machines with linear kernel. Weighted stacked generalization was implemented to improve upon the …

    binghamton Repository record

  10. ANALYZING AND PREDICTING ARMY COMBAT FITNESS TEST PERFORMANCE: A STATISTICAL AND MACHINE LEARNING APPROACH

    Ozga, George A.Monterey, CA; Naval Postgraduate School2025

    … machine learning techniques—including Logistic Regression (LR), Support Vector Machines (SVM), K-Nearest Neighbors (KNN), Classification and Regression Trees (CART), Random Forests (RF), and Artificial Neural Networks (ANN)—to predict ACFT outcomes using raw ACFT scores alongside demographic and …

    nps Repository record

  11. Data-driven prediction of saltmarsh morphodynamics

    Evans, Ben RichardUniversity of Cambridge2018

    … which machine learning model approaches (boosted regression trees, neural networks and Bayesian networks) can facilitate synthesis of information and prediction of decadal-scale morphological tendencies of saltmarshes. Importantly, data-driven predictions are independent of the assumptions …

    cambridge Repository record

  12. Regional data refine local abundance models: modeling plant species abundance distributions on the Central Plains

    Young, Nicholas E., author, Stohlgren, Thomas J., advisor, Kelly, Eugene Francis, committee member, Graham, James J., committee member, Evangelista, Paul Harrison, committee memberColorado State University. Libraries2010

    … data to regional scale landscapes. Using boosted regression trees, I examined the issues of spatial scale and errors associated with extrapolating species distribution models developed using locally collected abundance data to regional extents for a native and alien plant species across a portion …

    colostate Repository record

  13. A comparative analysis of non-linear techniques in South African stock selection

    Hutheram, Nikhil ArnaidasDivision of Actuarial Science2015

    … African market. These were classification and regression trees (CART), logistic regression and a random forest approach com- pared against a linear regression model. Moreover, a hybrid model between CART and logistic regression was considered. The models fell into two categories (i.e., static …

    cape-town Repository record

  14. Marine alien species in Western Cape harbours, South Africa: A tool for stategically focusing monitoring efforts

    Peters, KoebraaPercy FitzPatrick Institute of African Ornithology2013

    … of harbours was obtained through the use of regression tree models utilising CART (Classification and Regression Trees).

    cape-town Repository record

  15. Machine learning at the operating room of the future : a comparison of machine learning techniques applied to operating room scheduling

    Davies, Samuel Ingraham, 1980-Massachusetts Institute of Technology2004

    … take advantage of this richer data set: linear regression, nearest neighbors, regression trees, and support vector regression. We conclude that additional variables can improve the accuracy estimate by as much as 20%. Finally, we discuss the implementation challenges and future work necessary to …

    mit Repository record

  16. Exploring Transit Ridership Using Census, Routing & Scheduling, and Stop Characteristic Data

    Moody, Douglas Harvey2016

    … and a­­­­­pplies transit-system-specific regression tree models that identify and prioritize transit system improvements through analysis and application of ridership, Census, routing and scheduling, and transit stop characteristic data. Regression trees identify and rank independent …

    calpoly Repository record

  17. Visualizing mixed variable-type multidimensional data using tree distances

    Shaham, YoavMonterey, CA; Naval Postgraduate School2015

    … desirable properties of classification and regression trees: ease of handling of most variable types, indifference to variable scaling, resistance to noise and outliers, accommodations for missing values, and computational ease. In this research, we map the dissimilarities using Classical …

    nps Repository record

  18. An intelligent diagnostic system for screening newborns

    AMIRI, AMIR MOHAMMADUniversità degli Studi di Cagliari2015

    … eptron (MLP), decision tree, Classification and Regression Trees (CART) and ensemble of decision trees, are applied on data in order to a hieve highest performan e. High classifi cation accuracy, sensitivity, and specifity have been obtained on the given data by CART. The validation process has …

    cagliari Repository record

  19. Statistical Methods for Biological and Relational Data

    Anderson, Sarah G.The Ohio State University2013

    … the usefulness of sequential classification and regression trees to more advance methods. The second method uses Monte Carlo methods to calculate a rank for variable selection using supervised classification. Multiple testing methods are applied to gene expression and TCR data. The first method …

    ohiolink Repository record

  20. Phänotypische Differenzierung und Schweregradbestimmung des Post-Covid-19-Syndroms

    Ballhausen-Lübcker, Sabrina Waltraud RenateChristian-Albrechts-Universität zu Kiel

    … worden. Mit Hilfe eines Classification and Regression Trees (CART) haben wir nun den detaillierten Zusammenhang der 12 binären Symptomkomplexe des PCS-Scores mit seinen beiden wichtigsten Prädiktoren, Resilienz und Akutsymptomatik, untersucht. Ergebnis: Die CART-Analysen in beiden …

    cau-kiel Repository record

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