Sökning: "Document Preprocessing"
Visar resultat 6 - 10 av 11 uppsatser innehållade orden Document Preprocessing.
6. Automatic Patent Classification
Master-uppsats,Sammanfattning : Patents have a great research value and it is also beneficial to the community of industrial, commercial, legal and policymaking. Effective analysis of patent literature can reveal important technical details and relationships, and it can also explain business trends, propose novel industrial solutions, and make crucial investment decisions. LÄS MER
7. DETECTION of INFRASTRUCTURE ANOMALIES in BUILD LOGS USING MACHINE LEARNINGText classification on Continous Integration log files.
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : Continuous integration is a practice where software developers integrate their code to a bigger codebase multiple times per day. Before the integration, the code is built and tested by e.g open source build tools such as Jenkins, and the information produced during this process is stored in a log file. LÄS MER
8. How to explain graph-based semi-supervised learning for non-mathematicians?
Kandidat-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)Sammanfattning : Den stora mängden tillgänglig data på internet kan användas för att förbättra förutsägelser genom maskininlärning. Problemet är att sådan data ofta är i ett obehandlat format och kräver att någon manuellt bestämmer etiketter på den insamlade datan innan den kan användas av algoritmen. LÄS MER
9. PDF document search within a very large database
Kandidat-uppsats, KTH/Skolan för informations- och kommunikationsteknik (ICT)Sammanfattning : Digital search engine, taking a search request from user and then returning a result responded to the request to the user, is indispensable for modern humans who are used to surfing the Internet. On the other hand, the digital document PDF is accepted by more and more people and becomes widely used in this day and age due to the convenience and effectiveness. LÄS MER
10. Development of a data analysis platform for characterizing functional connectivity networks in rodents
Master-uppsats, KTH/Skolan för teknik och hälsa (STH)Sammanfattning : This document addresses the development and implementation of a routine for analyzing resting-state functional Magnetic Resonance Imaging (rs-fMRI) data in rodents. Even though resting-state connectivity is studied in humans already for several years with diverse applications in mental disorders or degenerative brain diseases, the interest for this modality is much more recent and less common in rodents. LÄS MER