Sökning: "Axel Fast"

Visar resultat 11 - 15 av 73 uppsatser innehållade orden Axel Fast.

  1. 11. Resource-efficient and fast Point-in-Time joins for Apache Spark : Optimization of time travel operations for the creation of machine learning training datasets

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

    Författare :Axel Pettersson; [2022]
    Nyckelord :Apache Spark; Point-in-Time; ASOF; Join; Optimizations; Time travel; Apache Spark; Point-in-Time; ASOF; Join; Optimeringar; Tidsresning;

    Sammanfattning : A scenario in which modern machine learning models are trained is to make use of past data to be able to make predictions about the future. When working with multiple structured and time-labeled datasets, it has become a more common practice to make use of a join operator called the Point-in-Time join, or PIT join, to construct these datasets. LÄS MER

  3. 12. Masterdata och API

    M1-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013); Karlstads universitet/Avdelningen för datavetenskap

    Författare :Axel Alvin; Lukas Axelborn; [2022]
    Nyckelord :masterdata; api; asp.net; blazor; sql; integration; masterdata; api; asp.net; blazor; sql; integration;

    Sammanfattning : Dagens samhälle är beroende av ett ständigt flöde av information och data. Företag och organisationer har ofta enorma mängder data som rör allt från kunder och personal till försäljningsstatistik och patientjournaler. LÄS MER

  4. 13. Too Fast too Navigable : a study to research the effects of navigability for a customers purchase time

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Unn Zachrison; Anna Petersson; Axel Jönsson; David Carlsson; Fredrik Lindberg; Joel Nilsson; Jonatan Johansson; Oscar Söderlund; [2022]
    Nyckelord :;

    Sammanfattning : Among today’s seemingly endless amount of online stores and markets, differentiation is crucial. However, attracting and satisfying online shoppers requires websites to not only present originality in offers and products, but to also be efficient and easy to use. LÄS MER

  5. 14. Traditionell budgetering och budgetlös styrning. : En kvalitativ studie av fyra Småländska företags styrningsform.

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för ekonomistyrning och logistik (ELO)

    Författare :Adam Jönsson; Axel Gummesson; [2022]
    Nyckelord :Budget; budgeting; beyond budgeting; planning.; Budget; budgetering; budgetlös styrning; planering;

    Sammanfattning : Abstract Research questionsHow do companies look at their financial management that is either traditional budgeting or beyond budgeting? What are the reasons for preferring one form over the other? Purpose The purpose of the work is to find out why companies choose to use budget, alternatively beyond budgeting. What is the reason for sticking to traditional budgeting despite the resource consumption it takes in relation to value creation and what is the reason for choosing to deviate from the traditional and move towards a completely or partially beyond budgeting. LÄS MER

  7. 15. Generation and Detection of Adversarial Attacks for Reinforcement Learning Policies

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

    Författare :Axel Drotz; Markus Hector; [2021]
    Nyckelord :Deep Reinforcement Learning; Adversarial Attacks; Adversarial Attack Detection; Fast Gradient Sign Method; Deep Deterministic Policy Gradient; Deep Q-Learning; Likelihood Ratio Test; CUSUM;

    Sammanfattning : In this project we investigate the susceptibility ofreinforcement rearning (RL) algorithms to adversarial attacks.Adversarial attacks have been proven to be very effective atreducing performance of deep learning classifiers, and recently,have also been shown to reduce performance of RL agents. LÄS MER