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 7 of 7 for “"Gradient Boosted Trees"”.
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Szálló por vizsgálata az időjárás függvényében
… A modell Hyperopt segítségével hangolt Gradient Boosted Trees regressziót használ, amely 24 órás előrejelzésre RMSE=5,3 µg/m³ és MAE=3,9 µg/m³ pontosságot ér el. A jellemzőfontosság-analízis kiemeli a relatív páratartalom és a légnyomás változásának jelentőségét a …
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Advanced adaptive classifier methods for data streams
… task of SL, specifically investigating streaming gradient-boosted trees and Neural Network (NN)s. Firstly, we introduce Streaming Gradient Boosted Trees (SGBT), a novel gradient-boosted method designed explicitly for SL classification. Next, we propose Continuously Adaptive Neural Networks for …
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Ensemble Tree-Based Machine Learning for Imaging Data
… <p>In Chapter 2, we introduce a gradient Boosted Trees for Spatial Data (Boost-S) with covariate information.The main innovation of this chapter is to incorporate the spatial correlation structure into the boosting structure. Boosting trees are one of the most successful …
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Optimal trees for prediction and prescription
… state-of-the-art methods like random forests and gradient boosted trees. A key limitation of classical decision tree methods is their use of a greedy heuristic for training. The tree is therefore constructed one locally-optimal split at a time, and so the final tree as a whole may be far from …
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Application of Machine Learning Techniques for the Classification of Lower Back Pain in Human Body
… Deep Learning, Fast Large Margin, Random Forest, Gradient Boosted Trees, Multi-Layer Perceptron, K-Nearest Neighbour, Decision Tree and Support Vector Machine methods are most suitable machine learning techniques which can classify given dataset with good accuracy. The aim of this research is the …
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Artificial Intelligence for System Medicine: Methods and Applications
… models (including Optimal Classification Trees and gradient boosted trees), can significantly improve over either existing benchmarks or achieve comparable performances with manual physician practice. In Part 4, we delve into prescriptive analytics, which focuses on assigning the optimal …
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LEARNING AND OVERLAPS IN QUEUES
… Linear Re- gression, Deep Neural Networks, and Gradient Boosted Trees to learn the tan- dem network Lindley recursion. We uncover specific parameter regimes where learning the tandem network Lindley recursion is easy or hard.