Sökning: "machine learning"

Visar resultat 1 - 5 av 1897 uppsatser innehållade orden machine learning.

1. 1. 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

3. 2. 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

4. 3. Text analysis for email multi label classification

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

   Författare :Kyriaki Paniskaki; Sanjit Harsha Kadam; [2020-07-08]
   Nyckelord :natural language processing; machine learning; multi label text classification; deep neural networks; bilingual texts; emails; short texts;

   Sammanfattning : This master’s thesis studies a multi label text classification task on a small dataset of bilingual, English and Swedish, short texts (emails). Specifically, the size ofthe data set is 5800 emails and those emails are distributed among 107 classes withthe special case that the majority of the emails includes the two languages at thesame time. LÄS MER

5. 4. Predicting Pedestrian Counts per Street Segment in Urban Environments

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

   Författare :Simon Karlsson; [2020-07-08]
   Nyckelord :data science; pedestrian movement; machine learning; random forest; negative binomial; spatial morphology; road network; street centrality; built environment; built density; attractions; land division;

   Sammanfattning : Cities are continuously growing all over the world and the complexity of designingurban environments increases. Therefore, there is a need to build a better understandingin how our cities work today. One of the essential parts of this is understandingthe pedestrian movement. LÄS MER

7. 5. Compressed Machine Learning on Time Series Data

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

   Författare :Felix Finger; Nathalie Gocht; [2020-07-08]
   Nyckelord :time series clustering; large scale data; machine learning; prediction; anomaly detection; compression;

   Sammanfattning : The extent of time related data across many fields has led to substantial interestin the analysis of time series. This interest meets growing challenges to store andprocess data. While the data is collected at an exponential rate, advancements inprocessing units are slowing down. LÄS MER