Sökning: "Ridge"

Visar resultat 1 - 5 av 175 uppsatser innehållade ordet Ridge.

  1. 1. Initial Development and Validation of Language-Based Assessments for Meaningful Change

    Kandidat-uppsats, Lunds universitet/Institutionen för psykologi

    Författare :Ulrika Söderström; [2024]
    Nyckelord :meaningful change; depression; Large Language Models; AI; Social Sciences;

    Sammanfattning : Meaningful change has been discussed in multiple studies, with the recurring question of how it could be conceptualized and assessed to identify what determines meaningful change and where it occurs. Previous studies have conducted statistical analyses based on traditional rating scales (i.e., the PHQ-9) to assess meaningful change. LÄS MER

  2. 2. Regularization Methods and High Dimensional Data: A Comparative Study Based on Frequentist and Bayesian Methods

    Kandidat-uppsats, Lunds universitet/Statistiska institutionen

    Författare :Markus Gerholm; Johan Sörstadius; [2024]
    Nyckelord :Linear regression; high dimensional data; regularization; Bayesian methods; Mathematics and Statistics;

    Sammanfattning : As the amount of high dimensional data becomes increasingly accessible and common, the need for reliable methods to combat problems such as overfitting and multicollinearity increases. Models need to be able to manage large data sets where predictor variables often outnumber the amount of observations. LÄS MER

  3. 3. Kernel Methods for Regression

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för matematik (MA)

    Författare :Tom Lennart Rossmann; [2023]
    Nyckelord :Kernel Methods; Regression; Ridge Regression;

    Sammanfattning : Kernel methods are a well-studied approach for addressing regression problems by implicitly mapping input variables into possibly infinite-dimensional feature spaces, particularly in cases where standard linear regression fails to capture non-linear relationships in data. Therefore, the choice between standard linear regression and kernel regression can be seen as a tradeoff between constraints on the number of features and the number of training samples. LÄS MER

  4. 4. Regression with Bayesian Confidence Propagating Neural Networks

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

    Författare :Raghav Rajendran Bongole; [2023]
    Nyckelord :Machine Learning; Neural Networks; Brain-like computing; Bayesian Confidence Propagating Neural Networks; Maskininlärning; neurala nätverk; hjärnliknande datorer; Bayesian Förtroendespridande neurala nätverk;

    Sammanfattning : Bayesian Confidence Propagating Neural Networks (BCPNNs) are biologically inspired artificial neural networks. These networks have been modeled to account for brain-like aspects such as modular architecture, divisive normalization, sparse connectivity, and Hebbian learning. LÄS MER

  5. 5. “When you see me, weep” : The archaeology of the hunger stones of Europe.

    Master-uppsats, Stockholms universitet/Arkeologi

    Författare :Ivan Odbratt; [2023]
    Nyckelord :Hunger stones; Climate change; Memory; Archaeology;

    Sammanfattning : This thesis investigates the phenomenon of hunger stones and their resurgence due to climate change-induced droughts, shedding light on their evolving societal significance. The initial focus lies on understanding the origins of the term and exploring how humanity has historically adapted to and remembered climatic transformations. LÄS MER