Sökning: "latent variable"
Visar resultat 1 - 5 av 34 uppsatser innehållade orden latent variable.
1. Predicting tumour growth-driving interactions from transcriptomic data using machine learning
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Neuroonkologi och neurodegenerationSammanfattning : The mortality rate is high for cancer patients and treatments are only efficient in a fraction of patients. To be able to cure more patients, new treatments need to be invented. Immunotherapy activates the immune system to fight against cancer and one treatment targets immune checkpoints. LÄS MER
2. Improving Change Point Detection Using Self-Supervised VAEs : A Study on Distance Metrics and Hyperparameters in Time Series Analysis
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis addresses the optimization of the Variational Autoencoder-based Change Point Detection (VAE-CP) approach in time series analysis, a vital component in data-driven decision making. We evaluate the impact of various distance metrics and hyperparameters on the model’s performance using a systematic exploration and robustness testing on diverse real-world datasets. LÄS MER
3. Human Rights Violations and Machine Learning - Cluster Analysis of Countries using the CIRIGHTS Dataset
Magister-uppsats, Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionenSammanfattning : This master's thesis explores the use of unsupervised machine learning techniques to cluster countries based on their degree of human rights violations. Accordingly, the study evaluates the performance of two clustering methods, K-Means clustering and Latent Class Analysis (LCA), using two cluster validation metrics (Silhouette Coefficient and Dunn Index), as well as an Accuracy measure using the Human Rights index. LÄS MER
4. Tackling Non-Stationarity in Reinforcement Learning via Latent Representation : An application to Intraday Foreign Exchange Trading
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Reinforcement Learning has applications in various domains, but the typical assumption is of a stationary process. Hence, when this hypothesis does not hold, performance may be sub-optimal. LÄS MER
5. Performance of Stochastic Volatility and GARCH Models in Different Market Regimes
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : Reliable methods for estimating financial return volatility are crucial in many areas of trading and investing. Two such frameworks, the GARCH and SV, have been of particular interest to academics and practitioners alike. The GARCH model describes the variance of the current innovation as a function of the actual sizes of the previous innovations. LÄS MER