Sökning: "unsupervised classification"
Visar resultat 16 - 20 av 114 uppsatser innehållade orden unsupervised classification.
16. Evaluation of the performance of machine learning techniques for email classification
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Manual categorization of a mail inbox can often become time-consuming. Therefore many attempts have been made to use machine learning for this task. One essential Natural Language Processing (NLP) task is text classification, which is a big challenge since an NLP engine is not a native speaker of any human language. LÄS MER
17. Sentence Embeddings and Automatic Classification of Menu Items
Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Caspeco AB is a company in Uppsala that specializes in providing IT solutions to the hospitality industry. Their customers (restaurants, pubs, etc.) classify their menu items freely, which leads to a classification that is often inconsistent and unreliable. LÄS MER
18. Cooperative security log analysis using machine learning : Analyzing different approaches to log featurization and classification
Master-uppsats, Linköpings universitet/Databas och informationsteknikSammanfattning : This thesis evaluates the performance of different machine learning approaches to log classification based on a dataset derived from simulating intrusive behavior towards an enterprise web application. The first experiment consists of performing attacks towards the web app in correlation with the logs to create a labeled dataset. LÄS MER
19. Tensor Decompositions of EEG Signals for Transfer Learning Applications
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknikSammanfattning : In this report, tensor decomposition methods of EEG signals have been evaluated for the purpose of transfer learning. The aim has been to address the person-to-person Brain-Computer Interface (BCI) calibration problem by transferring training data between sessions, which can shorten calibration times, extend the amount of training data, and enable using data from simulated environments in real world applications. LÄS MER
20. An unsupervised method for Graph Representation Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Internet services, such as online shopping and chat apps, have been spreading significantly in recent years, generating substantial amounts of data. These data are precious for machine learning and consist of connections between different entities, such as users and items. LÄS MER