Sökning: "Ridge Regression"

Visar resultat 1 - 5 av 65 uppsatser innehållade orden Ridge Regression.

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

3. 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

4. 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

5. 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

7. 5. Hållbarhetsbetyget ESG - är spelreglerna desamma för alla?

   Kandidat-uppsats, Lunds universitet/Statistiska institutionen

   Författare :Oscar Båth Viderström; Victor Feilberg; [2023]
   Nyckelord :ESG; Regression; Lasso; Lund University; Data visualization; Business and Economics; Mathematics and Statistics;

   Sammanfattning : The growing expansion of importance amid financial stakeholders regarding sustainability has led to an extended demand and need of reliable reporting amongst sustainability metrics. Previous research and information about ESG reporting and how ESG ratings are calculated are flawed. LÄS MER