Essays about: "Support Vector Machine"

Showing result 16 - 20 of 551 essays containing the words Support Vector Machine.

1. 16. Performance Benchmarking and Cost Analysis of Machine Learning Techniques : An Investigation into Traditional and State-Of-The-Art Models in Business Operations

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

   Author : Jacob Lundgren; Sam Taheri; [2023]
   Keywords : Artificial Intelligence AI ; Machine Learning; Big Data; Natural Language Processing NLP ; Pre-Trained BERT; Fine-Tuned BERT; TF-IDF; Logistic Regression; Support Vector Machine SVM ; Cloud GPU; Operating Costs; Performance Efficiency; Business Intelligence;

   Abstract : Eftersom samhället blir allt mer datadrivet revolutionerar användningen av AI och maskininlärning sättet företag fungerar och utvecklas på. Denna studie utforskar användningen av AI, Big Data och Natural Language Processing (NLP) för att förbättra affärsverksamhet och intelligens i företag. READ MORE

3. 17. Gait analysis using machine learning : An implementation of temporal convolution networks on gait events and gait phase

   University essay from KTH/Skolan för teknikvetenskap (SCI)

   Author : Sebastian Vogel Hauger; Logi Örn Axel Ingvarsson; [2023]
   Keywords : ;

   Abstract : This thesis aims to explore the implementation of a temporal convolution network (TCN)on gait event detection and gait phase detection. The performance of the model is eval-uated based on whether the task is gait event detection or gait phase detection. READ MORE

4. 18. Performance comparison of data mining algorithms for imbalanced and high-dimensional data

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

   Author : Daniel Rubio Adeva; [2023]
   Keywords : Data science; neural network; random forest; support vector machine; imbalanced data; average precision; ROC; Datavetenskap; neuralt nätverk; slumpmässig skog; stödvektormaskin; obalanserad data; medelprecision; ROC;

   Abstract : Artificial intelligence techniques, such as artificial neural networks, random forests, or support vector machines, have been used to address a variety of problems in numerous industries. However, in many cases, models have to deal with issues such as imbalanced data or high multi-dimensionality. READ MORE

5. 19. Industrial Machine Monitoring: Real-Time Anomalous Sound Event Detection on Low-Powered Devices

   University essay from Lunds universitet/Matematisk statistik

   Author : Alexander Magnusson; Anton Andersson; [2023]
   Keywords : Anomaly Detection; Sound Event Detection; MFCC; GMM; OCSVM; Mathematics and Statistics;

   Abstract : Traditionally fault detection in industrial machinery has been performed manually by experienced machine operators listening to the machines. However, it is desirable to automate this process to increase efficiency and improve the working environment of the operators. READ MORE

6. 20. Predicting Risk Level in Life Insurance Application : Comparing Accuracy of Logistic Regression, DecisionTree, Random Forest and Linear Support VectorClassifiers

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Pulagam Karthik Reddy; Sutapalli Veerababu; [2023]
   Keywords : Decision Tree Classifier; Logistic Regression; Machine Learning; Random Forest Classifier; Linear Support Vector Classifier;

   Abstract : Background: Over the last decade, there has been a significant rise in the life insurance industry. Every life insurance application is associated with some level ofrisk, which determines the premium they charge. The process of evaluating this levelof risk for a life insurance application is time-consuming. READ MORE