Sökning: "SVM classification"

Visar resultat 26 - 30 av 215 uppsatser innehållade orden SVM classification.

1. 26. Automated Metadata Extraction for Job Advertisements

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Evelina Strauss; Usama Safdar; [2022-06-20]
   Nyckelord :Machine learning; NLP; text classification; computer; science; computer science; project; thesis;

   Sammanfattning : This thesis is written in collaboration with the Swedish Public Employment Service and aims to investigate methods and techniques to automatically extract metadata from unstructured texts. The Swedish Public Employment Service collect job ads from different private job boards and these ads consist of a title and description and are thus of an unstructured format. LÄS MER

3. 27. An End-to-End Native Language Identification Model without the Need for Manual Annotation

   Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

   Författare :Viktorija Buzaitė; [2022]
   Nyckelord :native language identification; NLI; BERT; syntax; errors;

   Sammanfattning : Native language identification (NLI) is a classification task which identifies the mother tongue of a language learner based on spoken or written material. The task gained popularity when it was featured in the 2017 BEA-12-workshop and since then many applications have been successfully found for NLI - ranging from language learning to authorship identification and forensic science. LÄS MER

4. 28. Predicting the size of a company winning a procurement: an evaluation study of three classification models

   Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

   Författare :Ellen Björkegren; [2022]
   Nyckelord :public procurement; classification; Linear Discriminant Analysis; Random Forests; Support Vector Machines;

   Sammanfattning : In this thesis, the performance of the classification methods Linear Discriminant Analysis (LDA), Random Forests (RF), and Support Vector Machines (SVM) are compared using procurement data to predict what size company will win a procurement. This is useful information for companies, since bidding on a procurement takes time and resources, which they can save if they know their chances of winning are low. LÄS MER

5. 29. Classification of hyperkinesia in Parkinson patients using mobile sensors

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Gustaf von Grothusen; [2022]
   Nyckelord :Dyskinesia; hyperkinesia; Parkinson s disease; support vector machine; SVM; SVR; SVC; feature engineering; digital phenotyping; CDRS; smartphone; accelerometer; Mathematics and Statistics;

   Sammanfattning : In this thesis, we explore the possibility to monitoring hyperkinesia in people who suffer from Parkinson's disease (PD) using sensors in mobile phones. This is done by first collecting data from 25 patients diagnosed with PD by using a sensor-recording smartphone in a bag attached to the stomach, and at the same time let trained professionals make assessments of the degree of which they show signs of hyperkinesia, on the clinical dyskinesia rating scale, CDRS. LÄS MER

7. 30. Vibration-Based Terrain Classification for an Autonomous Truck

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

   Författare :Lucas Lovén; [2022]
   Nyckelord :Autonomous vehicles; machine learning; surface identification; obstacle identification; signal processing; time series classification; Autonoma fordon; maskininlärning; detektering av underlag; detektering av hinder; signalhantering; tidsserie klassifiering;

   Sammanfattning : This thesis is focused on developing vibration based terrain classification for an autonomous mining truck. The goal is to classify between good and bad gravel roads as well as good and bad asphalt roads. Current literature within vibration based terrain classification has been focused to a great extent on smaller research vehicles. LÄS MER