Sökning: "Support Vector Regression Machines"

Visar resultat 1 - 5 av 60 uppsatser innehållade orden Support Vector Regression Machines.

1. 1. Mathematical modelling simulation data and artificial intelligence for the study of tumour-macrophage interaction

   Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

   Författare :Jaysmita Khanindra Chaliha; [2023]
   Nyckelord :;

   Sammanfattning : The study explores the integration of mathematical modelling and machine learning to understand tumour-macrophage interactions in the tumour microenvironment. It details mathematical models based on biochemistry and physics for predicting tumour dynamics, highlighting the role of macrophages. LÄS MER

3. 2. Multi-scale Bark Beetle Predictions Using Machine Learning

   Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Författare :Albert Øhrman Wellendorf; [2023]
   Nyckelord :Geography; GIS; Geographically weighted regression; bark beetle; machine learning; Earth and Environmental Sciences;

   Sammanfattning : Bark beetle attacks have led to widespread tree disturbance and deaths in many parts of the world, and thereby also economic and biodiversity losses. Forest-rich Sweden has experienced periodic attacks, latest in 2018. LÄS MER

4. 3. ML enhanced interpretation of failed test result

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Hiranmayi Pechetti; [2023]
   Nyckelord :Data Parsing; Machine Learning; Log file Analysis; Text Classification; Supervised Classification; Dataanalys; maskininlärning; loggfilsanalys; textklassificering; Övervakad klassificering;

   Sammanfattning : This master thesis addresses the problem of classifying test failures in Ericsson AB’s BAIT test framework, specifically distinguishing between environment faults and product faults. The project aims to automate the initial defect classification process, reducing manual work and facilitating faster debugging. LÄS MER

5. 4. Swedish Stock and Index Price Prediction Using Machine Learning

   Kandidat-uppsats, Mälardalens universitet/Akademin för utbildning, kultur och kommunikation

   Författare :Henrik Wik; [2023]
   Nyckelord :Stock Price Prediction; Machine Learning; Time Series Analysis; Linear Regression; K-Nearest Neighbors; Random Forest; Support Vector Machines; Neural Networks;

   Sammanfattning : Machine learning is an area of computer science that only grows as time goes on, and there are applications in areas such as finance, biology, and computer vision. Some common applications are stock price prediction, data analysis of DNA expressions, and optical character recognition. LÄS MER

7. 5. Classifying High-Growth Manufacturing Firms on the Swedish Stock Market:A Comparative Study Between the Logistic Regression, Support Vector Machine and Artificial Neural Network

   Master-uppsats, Lunds universitet/Nationalekonomiska institutionen

   Författare :William Fridström; [2023]
   Nyckelord :Machine Learning; Econometrics; Firm Growth; Binary Classification; Prediction; Model comparision.; Business and Economics;

   Sammanfattning : This is a comparative study between two modern machine learning algorithms, the Support Vector Machine and Artificial neural network, and one traditional econometric model, the Logistic regression. The main objective is to compare their performance by classifying high-growth companies. LÄS MER