Sökning: "sequence prediction"
Visar resultat 11 - 15 av 87 uppsatser innehållade orden sequence prediction.
11. Stock Price Prediction Using Machine Learning
Magister-uppsats, Södertörns högskola/NationalekonomiSammanfattning : Accurate prediction of stock prices plays an increasingly prominent role in the stock market where returns and risks fluctuate wildly, and both financial institutions and regulatory authorities have paid sufficient attention to it. As a method of asset allocation, stocks have always been favored by investors because of their high returns. LÄS MER
12. Player Activity Sequence Analysis Using Process Mining : Player churn prediction and Abnormal player sequences detection using process mining on the data from a live game
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: Game analytics is a field that aims to analyze games and help in the enhancement of game development. Data mining is a prominent technique for game analytics. Recent advances in the field of process mining have motivated users to apply process mining to real-world scenarios in order to derive process-oriented insights. LÄS MER
13. Immunological Cross-Reactivity : Construction of a Workflow That Enables Cross-Reactivity Predictions
Kandidat-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildningSammanfattning : Cross-reactivity occurs when an antibody binds to the epitope of a protein that is not the targeted antigen. This is problematic in the analysis of immunoassay diagnostics. Detecting a protein incorrectly might cause issues such as incorrect mapping of metabolic conditions for research or diagnosis. LÄS MER
14. Diffusion Models for Video Prediction and Infilling : Training a conditional video diffusion model for arbitrary video completion tasks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : To predict and anticipate future outcomes or reason about missing information in a sequence is a key ability for agents to be able to make intelligent decisions. This requires strong temporally coherent generative capabilities. LÄS MER
15. Forecasting Efficiency in Cryptocurrency Markets : A machine learning case study
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Financial time-series are not uncommon to research in an academic context. This is possibly not only due to its challenging nature with high levels of noise and non-stationary data, but because of the endless possibilities of features and problem formulations it creates. LÄS MER