Essays about: "latent variable"

Showing result 1 - 5 of 31 essays containing the words latent variable.

1. 1. Predicting tumour growth-driving interactions from transcriptomic data using machine learning

   University essay from Uppsala universitet/Neuroonkologi och neurodegeneration

   Author : Mathilda Stigenberg; [2023]
   Keywords : cancer; immunology; cell-cell interactions; deep learning; variational autoencoder; supervised variational autoencoder; tumour microenvironment; single-cell RNA sequencing; spatial transcriptomics; breast cancer; machine learning;

   Abstract : 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. READ MORE

3. 2. Improving Change Point Detection Using Self-Supervised VAEs : A Study on Distance Metrics and Hyperparameters in Time Series Analysis

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Daniel Workinn; [2023]
   Keywords : Change point detection; Time series data; Segmentation; Machine learning; Data mining; Detektion av brytpunkter; Tidsseriedata; Segmentering; Maskininlärning; Datautvinning;

   Abstract : 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. READ MORE

4. 3. Human Rights Violations and Machine Learning - Cluster Analysis of Countries using the CIRIGHTS Dataset

   University essay from Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionen

   Author : Emilie Ståhle; Emilie Haubrich; [2023]
   Keywords : Human Rights Violation; Clustering; K-Means; Latent Class Analysis; Transition Matrix; Business and Economics;

   Abstract : 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. READ MORE

5. 4. Tackling Non-Stationarity in Reinforcement Learning via Latent Representation : An application to Intraday Foreign Exchange Trading

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Adriano Mundo; [2023]
   Keywords : Reinforcement Learning; Latent Representation; VAE; Non-Stationary; FQI; FX Trading; Förstärkningsinlärning; Latent representation; VAE; Icke-stationär; FQI; FX handel;

   Abstract : 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. READ MORE

6. 5. Performance of Stochastic Volatility and GARCH Models in Different Market Regimes

   University essay from Lunds universitet/Statistiska institutionen

   Author : Felix Viitanen; Erik Lundgren; [2022]
   Keywords : Mathematics and Statistics;

   Abstract : 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. READ MORE