Sökning: "Machine Learning"

Visar resultat 1 - 5 av 2051 uppsatser innehållade orden Machine Learning.

1. 1. Determining linguistic predictor for the classification of subjective cognitive impairment and mild cognitive impairment using machine learning

   Master-uppsats, Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

   Författare :Tian Wang; [2020-09-01]
   Nyckelord :mild cognitive impairment; sibjective cognitive impairment; natural language processing; support vector machine; neural networks;

   Sammanfattning : Introduction Mild Cognitive Impairment (MCI) is a neurological condition characterized by cognitive decline greater than expected for an individual's age and education level. Subjective Cognitive Impairment (SCI) is a selfreported decline in cognitive abilities but not clinically identified as MCI. LÄS MER

3. 2. CORPUS EXPLORATION AND DIALOGUE SYSTEM DESIGN FOR A VIRTUAL LIBRARIAN

   Master-uppsats, Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

   Författare :Xiao Li; [2020-09-01]
   Nyckelord :chatbot; dialogue system; design; modeling; virtual librarian; Rasa;

   Sammanfattning : This thesis is a part of the virtual librarian project for the City Library Gothenburg (Stadsbibliotek Göteborg), which is a public city library. The objective of the project is to develop a virtual librarian using machine learning and AI approaches to replace the current webchat solution to reduce the workload of human librarians and increase satisfaction among the patrons. LÄS MER

4. 3. Kille: Learning Objects and Spatial Relations with Kinect

   Master-uppsats, Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

   Författare :Erik de Graaf; [2020-08-26]
   Nyckelord :grounding; spatial relations; object learning;

   Sammanfattning : In order for humans to have meaningful interactions with a robotic system, this system should be capable of grounding semantic representations to their real-world representations, learn spatial relationships andcommunicate using spoken human language. End users need to be able to query the system what objects it already has knowledge of, for more efficient learning. LÄS MER

5. 4. Resource Optimal Neural Networks for Safety-critical Real-time Systems

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

   Författare :Joakim Åkerström; [2020-07-10]
   Nyckelord :Data science; machine learning; deep learning; neural networks; network compression; network acceleration; safety-critical systems; real-time systems;

   Sammanfattning : Deep neural networks consume an excessive amount of hardware resources, makingthem difficult to deploy to real-time systems. Previous work in the field of networkcompression lack the explicit hardware feedback necessary to control the resourceconstraints imposed by such systems. LÄS MER

7. 5. Machine Learning for Detecting Hate Speech in Low Resource Languages

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

   Författare :David Rodriguez; Denitsa Saynova; [2020-07-08]
   Nyckelord :machine learning; natural language processing; BERT; cross-lingual zeroshot learning; data augmentation; hate speech; classification; Twitter;

   Sammanfattning : This work examines the role of both cross-lingual zero-shot learning and data augmentationin detecting hate speech online for low resource set-ups. The proposedsolutions for situations where the amount of labeled data is scarce are to use alanguage with more resources during training or to create synthetic data points. LÄS MER