Sökning: "predictive performance"

Visar resultat 1 - 5 av 529 uppsatser innehållade orden predictive performance.

1. 1. Does industry survey data improve GDP forecasting?

   Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionen

   Författare :Oscar Andersson; Ludvig Fornstedt; [2024-03-06]
   Nyckelord :Bayesian; BVAR; Forecasting; GDP; survey data;

   Sammanfattning : This study assesses the integration of industry survey data into Bayesian Vector Auto Regressive (BVAR) models for GDP forecasting in Sweden. Analyzing a combination of macro economic indicators, CPI and unemployment rates, with survey data from NIER, it explores the effects of different variable combinations on the forecasting ability of different models. LÄS MER

3. 2. Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Zeyuan Wu; [2024]
   Nyckelord :Machine Learning; Diagnosis of Sepsis; XGBoost; Logistic Regression; Mathematics and Statistics;

   Sammanfattning : Sepsis, a serious medical condition often leading to patients requiring intensive care, has prompted numerous scientists to employ mathematical techniques to aid in its diagnosis. This thesis uses logistic regression and a machine learning technique, XGBoost, to predict true sepsis (as opposed to sepsis mimics) and culture-positive sepsis (among true sepsis) in critical care using blood test results, physiological measurements and other patient characteristics. LÄS MER

4. 3. Time Series Forecasting on Database Storage

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Pranav Patel; [2024]
   Nyckelord :Machine Learning; Time Series Forecasting; Prediction; Neural Networks; CNN; RNN; Database Storage;

   Sammanfattning : Time Series Forecasting has become vital in various industries ranging from weather forecasting to business forecasting. There is a need to research database storage solutions for companies in order to optimize resource allocation, enhance decision making process and enable predictive data storage maintenance. LÄS MER

5. 4. Predicting Counter-Strike Matches using Machine Learning Models

   Kandidat-uppsats, Lunds universitet/Statistiska institutionen

   Författare :Erik Broms; William Nordansjö; [2024]
   Nyckelord :Mathematics and Statistics;

   Sammanfattning : Sports betting is a widespread industry where predictive modeling play a big role. The goal of this thesis is to explore the possibilities of machine learning within the realm of e-sport prediction. The data used for this thesis is publicly available data was recorded over a three year period. LÄS MER

7. 5. Incremental Re-tokenization in BPE-trained SentencePiece Models

   Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Simon Hellsten; [2024]
   Nyckelord :BPE; Byte Pair Encoding; SentencePiece; NLP; Natural Language Processing; Tokenization; Re-tokenization;

   Sammanfattning : This bachelor's thesis in Computer Science explores the efficiency of an incremental re-tokenization algorithm in the context of BPE-trained SentencePiece models used in natural language processing. The thesis begins by underscoring the critical role of tokenization in NLP, particularly highlighting the complexities introduced by modifications in tokenized text. LÄS MER