Sökning: "mixture density network"

Visar resultat 1 - 5 av 9 uppsatser innehållade orden mixture density network.

1. 1. Scenario Generation For Vehicles Using Deep Learning

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Jay Patel; [2022]
   Nyckelord :Scenario generation; Mixture Density Network; Gaussian Mixture Model; Autonomous driving; Semantic Graph Network; Scenariogenerering; Mixture Density Network; Gaussian Mixture Model; Autonom körning; Semantic Graph Network;

   Sammanfattning : In autonomous driving, scenario generation can play a critical role when it comes to the verification of the autonomous driving software. Since uncertainty is a major component in driving, there cannot be just one right answer to a prediction for the trajectory or the behaviour, and it becomes important to account for and model that uncertainty. LÄS MER

3. 2. Double-layer vs single-layer cryogels as a dye affinity chromatography column, comparison study

   Master-uppsats, Lunds universitet/Kemiska institutionen

   Författare :Thi Hoai Thu Trinh; [2022]
   Nyckelord :dye-affinity chromatography; single-layer cryogels; double-layer cryogels; protein purification; bovine serum albumin; biochemistry; Chemistry;

   Sammanfattning : Dye affinity chromatography is one of the chromatography techniques which uses dye as a ligand for protein purification. In this study, single-layer poly(acrylamide-allyl glycidyl ether) cryogel was prepared, which contains free epoxy groups at sub-zero temperature. LÄS MER

4. 3. Value at Risk Estimation with Neural Networks: A Recurrent Mixture Density Approach

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :William Karlsson Lille; Daniel Saphir; [2021]
   Nyckelord :Machine learning; Neural networks; LSTM; MDN; Mixture density; Value at Risk; VaR; Risk; Financial mathematics; Finance; Maskininlärning; Neurala nätverk; LSTM; MDN; Mixture Density; Value at Risk; VaR; Risk; Finansiell matematik; Finans;

   Sammanfattning : In response to financial crises and opaque practices, governmental entities and financial regulatory bodies have implemented several pieces of legislature and directives meant to protect investors and increase transparency. Such regulations often impose strict liquidity requirements and robust estimations of the risk borne by a financial firm at any given time. LÄS MER

5. 4. Prediction of Dose Probability Distributions Using Mixture Density Networks

   Master-uppsats, KTH/Matematisk statistik

   Författare :Viktor Nilsson; [2020]
   Nyckelord :Applied mathematics; machine learning; deep learning; mixture density network; dose planning; Tillämpad matematik; maskininlärning; djupinlärning; mixturdensitetsnätverk; dosplannerning;

   Sammanfattning : In recent years, machine learning has become utilized in external radiation therapy treatment planning. This involves automatic generation of treatment plans based on CT-scans and other spatial information such as the location of tumors and organs. LÄS MER

7. 5. Applying Generative Adversarial Networks for the Generation of Adversarial Attacks Against Continuous Authentication

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Zijian Fan; [2020]
   Nyckelord :;

   Sammanfattning : Cybersecurity has been a hot topic over the past decades with lots of approaches being proposed to secure our private information. One of the emerging approaches in security is continuous authentication, in which the computer system is authenticating the user by monitoring the user behavior during the login session. LÄS MER