Essays about: "Voting ensemble"
Showing result 1 - 5 of 9 essays containing the words Voting ensemble.
-
1. Stock market analysis with a Markovian approach: Properties and prediction of OMXS30
University essay from KTH/Matematisk statistikAbstract : This paper investigates how Markov chain modelling can be applied to the Swedish stock index OMXS30. The investigation is two-fold. Firstly, a Markov chain is based on index data from recent years, where properties such as transition matrix, stationary distribution and hitting time are studied. READ MORE
-
2. Credit Card Approval Prediction : A comparative analysis between logistic regressionclassifier, random forest classifier, support vectorclassifier with ensemble bagging classifier.
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Due to an increasing number of credit card defaulters, companies arenow taking greater precautions when approving credit applications. When a customermeets certain requirements, credit card firms typically use their experience todecide whether to grant them a credit card. READ MORE
-
3. Deep learning-based segmentation of anatomical structures in MR images
University essay from Linköpings universitet/Avdelningen för medicinsk teknikAbstract : Magnetic resonance imaging (MRI) is a powerful imaging tool for diagnostics, which AMRA uses to segment and quantify certain anatomical regions. This thesis investigate the possibilities of using deep learning for the particular task of AMRAs segmentation, both for ordinary regions (fat and muscle regions) and injured muscles. READ MORE
-
4. Recognition of Handwritten Swedish Sentences With Deep Learning
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : This study attempts the task of handwritten text recognition within the context of the Swedish language. It examines the applicability of deep neural networks to comprehend handwritten Swedish texts, specifically leveraging the Labors Memory Dataset. READ MORE
-
5. Comparing Ensemble Methods with Individual Classifiers in Machine Learning for Diabetes Detection
University essay from KTH/DatavetenskapAbstract : Diabetes is a common disease that is characterized by several health markers. These markers can be used in machine learning to help predict the presence of diabetes in an individual. READ MORE