Essays about: "multi-task regression"

Found 5 essays containing the words multi-task regression.

  1. 1. Survivability Prediction and Analysis using Interpretable Machine Learning : A Study on Protecting Ships in Naval Electronic Warfare

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Sidney Rydström; [2022]
    Keywords : Electronic warfare; machine learning; statistics; Artificial Neural Networks; ANN; multi-layer perceptron; multi-task learning; interpretable machine learning; Shapley values; kernel SHAP;

    Abstract : Computer simulation is a commonly applied technique for studying electronic warfare duels. This thesis aims to apply machine learning techniques to convert simulation output data into knowledge and insights regarding defensive actions for a ship facing multiple hostile missiles. READ MORE

  3. 2. Multi-task regression QSAR/QSPR prediction utilizing text-based Transformer Neural Network and single-task using feature-based models

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Spyridon Dimitriadis; [2021]
    Keywords : multi-task regression; QSAR; QSPR; deep learning; attention based models; transfer learning;

    Abstract : With the recent advantages of machine learning in cheminformatics, the drug discovery process has been accelerated; providing a high impact in the field of medicine and public health. Molecular property and activity prediction are key elements in the early stages of drug discovery by helping prioritize the experiments and reduce the experimental work. READ MORE

  4. 3. Survival Comparison of Open and Endovascular Repair Using Machine Learning

    University essay from KTH/Matematik (Avd.)

    Author : Aston Brunnberg; Gustaf Holte; [2021]
    Keywords : Master Thesis; Degree Project; Machine Learning; Survival Analysis; Abdominal Aortic Aneurysm; AAA; Kaplan-Meier; Survival Tree; Random Survival Forest; Neural Multi-Task Logistic Regression; DeepHit; Examensarbete; Masteruppsats; Maskininlärning; Överlevnadsanalys; Abdominellt Aortaaneurysm; AAA; Kaplan-Meier; Survival Tree; Random Survival Forest; Neural Multi-Task Logistic Regression; DeepHit;

    Abstract : Today there exists two types of preventive surgical treatment procedures for Abdominal Aortic Aneurysm. In order to make an informed choice of treatment, the clinician needs to have a clear picture of how the choice will affect the patients chances of survival. READ MORE

  5. 4. Automated bone segmentation in computed tomography using deep learning with distance maps

    University essay from Lunds universitet/Matematik LTH

    Author : Julius Åkesson; [2020]
    Keywords : deep learning; distance maps; Mathematics and Statistics;

    Abstract : 3D-models of bone structures from computed tomography (CT) data can be used for surgical planning, education and a wide range of other purposes. They can also be used in both digital and 3D-printed format. The currently used process to obtain such models consists of a combination of thresholding, morphological operations and manual adjustments. READ MORE

  6. 5. Multi-Output Random Forests

    University essay from Högskolan i Borås/Institutionen Handels- och IT-högskolan

    Author : Henrik Linusson; [2013]
    Keywords : classification; multi-output; multi-task; Random Forest; regression;

    Abstract : The Random Forests ensemble predictor has proven to be well-suited for solving a multitudeof different prediction problems. In this thesis, we propose an extension to the Random Forestframework that allows Random Forests to be constructed for multi-output decision problemswith arbitrary combinations of classification and regression responses, with the goal ofincreasing predictive performance for such multi-output problems. READ MORE