Essays about: "Probabilistic Machine Learning"

Showing result 11 - 15 of 49 essays containing the words Probabilistic Machine Learning.

  1. 11. Modelling rare events using non-parametric machine learning classifiers - Under what circumstances are support vector machines preferable to conventional parametric classifiers?

    University essay from Göteborgs universitet/Institutionen för nationalekonomi med statistik

    Author : Lukas Ma; [2021-04-06]
    Keywords : ;

    Abstract : Rare event modelling is an important topic in quantitative social science research. However, despite the fact that traditional classifiers based upon general linear models (GLM) might lead to biased results, little attention in the social science community is devoted to methodological studies aimed at alleviating such bias, even fewer of them have considered the use of machine learning methods to tackle analytical problems imposed by rare events. READ MORE

  3. 12. Probabilistic Forecast of Time Series with Transformers and Normalizing Flows

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Seema Negi; [2021]
    Keywords : ;

    Abstract : Today, machine learning has many applications and is used in different fields and industries. One of its applications is demand forecasting. Future demands play a vital role in any industry. It can help the organization from planning to making the stock levels available to the customer when required. READ MORE

  4. 13. Real-time hand segmentation using deep learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Federico Favia; [2021]
    Keywords : Hand Segmentation; Semantic Segmentation; Deep Learning; Convolutional Neural Networks; Real-time; Augmented Reality; Embedded Devices; Dataset; Transfer Learning; Handsegmentering; Semantisk Segmentering; Djupinlärning; Konvolutionsneurala Nätverk; Realtid; Förstärkt Verklighet; Inbäddade Enheter; Datauppsättning; Transferlärning;

    Abstract : Hand segmentation is a fundamental part of many computer vision systems aimed at gesture recognition or hand tracking. In particular, augmented reality solutions need a very accurate gesture analysis system in order to satisfy the end consumers in an appropriate manner. Therefore the hand segmentation step is critical. READ MORE

  5. 14. Real-Time Probabilistic Locomotion Synthesis for Uneven Terrain

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Emil Jonsson; [2021]
    Keywords : Machine learning; Probabilistic models; Normalising flow; Environment interaction; Animation Synthesis; Maskinginlärning; Probabilistiska metoder; Normaliserande flöden; Interaktion med omgivning; Animations-syntes;

    Abstract : In modern games and animation there is a constant strive for more realistic motion. Today a lot of games use motion matching and blending with lots of post-processing steps to produce animations, but these methods often require huge amounts of motions clips while still having problems with realistic joint weights. READ MORE

  6. 15. A Machine Learning Approach for Comprehending Cosmic Expansion

    University essay from KTH/Fysik

    Author : Ludvig Doeser; [2021]
    Keywords : Cosmology; Cosmic expansion; Galaxy Images; Machine learning; Kosmologi; kosmisk expansion; galaxbilder; maskininlärning;

    Abstract : This thesis aims at using novel machine learning techniques to test the dynamics of the Universe via the cosmological redshift-distance test. Currently, one of the most outstanding questions in cosmology is the physical cause of the accelerating cosmic expansion observed with supernovae. READ MORE