Sökning: "generalization bias"

Visar resultat 1 - 5 av 15 avhandlingar innehållade orden generalization bias.

  1. 1. Evolution of Mimicry and Aposematism Explained: Salient Traits and Predator Psychology

    Författare :Baharan Kazemi; Olof Leimar; Gabriella Gamberale-Stille; Mike Speed; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; imperfect mimicry; mimicry evolution; predator learning; discrimination; generalization; salience; overshadowing; aposematism; warning signal evolution; generalization bias; peak shift; etologi; Ethology;

    Sammanfattning : Aposematic species have evolved conspicuous warning signals, such as bright colors and striking patterns, to deter predators. Some edible and harmless species take advantage of this deterrent effect by mimicking their appearance. Mimicry is a great example of how natural selection produces remarkable adaptations. LÄS MER

  3. 2. Essays on Banking and Portfolio Choice

    Författare :Bo Larsson; Hans Wijkander; Jean-Charles Rochet; Stockholms universitet; []
    Nyckelord :Optimal reserves; Time-diversification; Home bias;

    Sammanfattning : This thesis consists of three self-contained essays in the fields of banking and portfolio choice.Banking and Optimal Reserves in an Equilibrium Model:I address the question of reserves in banking, particularly the fact that reserves are substantially larger than the stipulated reserve requirements by Bank of International Settlements. LÄS MER

  4. 3. Contributions to deep learning for imaging in radiotherapy

    Författare :Attila Simkó; Joakim Jonsson; Tommy Löfstedt; Anders Garpebring; Tufve Nyholm; Veronika Cheplygina; Umeå universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; deep learning; medical imaging; radiotherapy; artefact correction; bias field correction; contrast transfer; synthetic CT; reproducibility;

    Sammanfattning : Purpose: The increasing importance of medical imaging in cancer treatment, combined with the growing popularity of deep learning gave relevance to the presented contributions to deep learning solutions with applications in medical imaging.Relevance: The projects aim to improve the efficiency of MRI for automated tasks related to radiotherapy, building on recent advancements in the field of deep learning. LÄS MER

  5. 4. On Bounds and Asymptotics of Sequential Monte Carlo Methods for Filtering, Smoothing, and Maximum Likelihood Estimation in State Space Models

    Författare :Jimmy Olsson; Matematisk statistik; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; actuarial mathematics; programming; operations research; Statistics; Matematik; Mathematics; state space models; smoothing; sequential Monte Carlo; particle filter; EM algorithm; maximum likelihood; consistency; Asymptotic normality; Statistik; operationsanalys; programmering; aktuariematematik;

    Sammanfattning : This thesis is based on four papers (A-D) treating filtering, smoothing, and maximum likelihood (ML) estimation in general state space models using stochastic particle filters (also referred to as sequential Monte Carlo (SMC) methods). The aim of Paper A is to study the bias of Monte Carlo integration estimates produced by the so-called bootstrap particle filter. LÄS MER

  7. 5. Robust analysis of uncertainty in scientific assessments

    Författare :Ivette Raices Cruz; Biologiska institutionen; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; expert knowledge; robust Bayesian analysis; scientific assessments; subjective probability; uncertainty analysis;

    Sammanfattning : Uncertainty refers to any limitation in knowledge. Identifying and characterizing uncertainty in conclusions is important to ensure transparency and avoid over or under confidence in scientific assessments. Quantitative expressions of uncertainty are less ambiguous compared to uncertainty expressed qualitatively, or not at all. LÄS MER