Sökning: "reweighting"

Visar resultat 1 - 5 av 6 uppsatser innehållade ordet reweighting.

  1. 1. Determining Protein Conformational Ensembles by Combining Machine Learning and SAXS

    Master-uppsats, KTH/Tillämpad fysik

    Författare :Samuel Eriksson Lidbrink; [2023]
    Nyckelord :AlphaFold; AlphaFold2; SAXS; protein conformational ensembles; machine learning; protein conformations; reweighting; SAXS; AlphaFold; AlphaFold2; proteinkonformationsensembler; maskininlärning; proteinkonformationer; omviktning;

    Sammanfattning : In structural biology, immense effort has been put into discovering functionally relevant atomic resolution protein structures. Still, most experimental, computational and machine learning-based methods alone struggle to capture all the functionally relevant states of many proteins without very involved and system-specific techniques. LÄS MER

  3. 2. Learning from noisy labelsby importance reweighting: : a deep learning approach

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

    Författare :Tongtong Fang; [2019]
    Nyckelord :noisy label; importance reweighting; deep learning; domain adaptation; annoterad data; omviktning; djupt lärande; domänanpassning;

    Sammanfattning : Noisy labels could cause severe degradation to the classification performance. Especially for deep neural networks, noisy labels can be memorized and lead to poor generalization. LÄS MER

  4. 3. Uneven Image Point Distribution in Camera Pre-Calibration and its Eects on 3D Reconstruction Errors

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Niklas Fries; [2017]
    Nyckelord :;

    Sammanfattning : In camera pre-calibration, images of a calibration object are commonly used to determine the internal geometry of a camera. The calibration imaging is often optimized to have the calibration object cover as large image area as possible. This is likely to yield a larger concentration of measured image points near the center of the image sensor. LÄS MER

  5. 4. Trigger Algorithms and Monte Carlo Event Generation for Dijet Searches in ATLAS and Beyond

    Master-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Partikel- och kärnfysik

    Författare :Sebastian Murk; [2017]
    Nyckelord :Physics and Astronomy;

    Sammanfattning : So far, the Standard Model (SM) has been very successful in describing non-gravitational interactions of fundamental particles. However, many of its theoretical and experimental shortcomings remain unresolved. LÄS MER

  7. 5. DERIVATION OF A REWEIGHTING ALGORITHM FOR THE PREDICTION OF THE THERMODYNAMIC STABILITY OF MUTATED SEQUENCES AND EVALUATION OF ITS USABILITY IN A SIMPLE CONTINUOUS PROTEIN MODEL

    Kandidat-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Författare :Frieder Henning; [2015]
    Nyckelord :Physics and Astronomy;

    Sammanfattning : In this thesis, a new reweighting algorithm for predicting the native conformations of amino acid sequences, consisting of 16 residues in a reduced representation continuous protein model, is derived and tested to map neutral nets of α-helices and β-sheets. For examining the potential of the reweighting algorithm for predicting the thermodynamic stability of amino acid sequences, it is applied to a mutational pathway, connecting a α-helix to a β-sheet. LÄS MER