Sökning: "Binned Distribution"

Hittade 4 uppsatser innehållade orden Binned Distribution.

  1. 1. Online Sample Selection for Resource Constrained Networked Systems

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

    Författare :Philip Sjösvärd; Samuel Miksits; [2022]
    Nyckelord :Online learning; Sample Selection; Real-time Learning; Random Forest; Reservoir Sampling; Relevance and Redundancy; Binned Distribution; Autoregressive Model; Change Detection; Model Re-computation;

    Sammanfattning : As more devices with different service requirements become connected to networked systems, such as Internet of Things (IoT) devices, maintaining quality of service becomes increasingly difficult. Large data sets can be obtained ahead of time in networks to train prediction models offline, however, resulting in high computational costs. LÄS MER

  3. 2. A Comparison on Supervised and Semi-Supervised Machine Learning Classifiers for Diabetes Prediction

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Lokesh Kola; Vigneshwar Muriki; [2021]
    Nyckelord :Machine Learning; Semi-supervised Learning; Supervised Learning; Diabetes Prediction;

    Sammanfattning : Background: The main cause of diabetes is due to high sugar levels in the blood. There is no permanent cure for diabetes. However, it can be prevented by early diagnosis. In recent years, the hype for Machine Learning is increasing in disease prediction especially during COVID-19 times. LÄS MER

  4. 3. Dalitz Plot Analysis of η'→ηπ+π-

    Master-uppsats, Uppsala universitet/Kärnfysik

    Författare :Simon Taylor; [2020]
    Nyckelord :Dalitz Plot Analysis; BESIII; meson physics; maximum likelihood method; chi2 method;

    Sammanfattning : Chiral Perturbation Theory (ChPT) is a tool for studying the strong interaction at low energies. The Perturbation theory is developed around the limit where the light quarks, u,d,s are approximated to be massless. In this approximation the isospin symmetry, one of the main features of the strong interaction, is fulfilled automatically. LÄS MER

  5. 4. Real-time Uncertainty Estimation for Semantic Segmentation : Improving Uncertainty Estimates with Temperature Scaling and Predicted Dirichlet Distributions

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

    Författare :Lukas Grannas; [2020]
    Nyckelord :;

    Sammanfattning : This degree project examined different aspects of real-time uncertainty estimation for semantic segmentation deep learning networks in an autonomous driving setting. Two main tracks were taken. LÄS MER