Sökning: "Evaluering"

Visar resultat 26 - 30 av 256 uppsatser innehållade ordet Evaluering.

1. 26. Implementation av adaptiv evaluering för feedback i chatbot för yrkessvenska

   Kandidat-uppsats, KTH/Datavetenskap

   Författare :Sandra Persson; Hanna Skorupka; [2022]
   Nyckelord :;

   Sammanfattning : The report aims to study whether the implementation of language models in a chatbot for Swedish can make language learning more effective. A fundamental factor for an individual to have the opportunity to be integrated into the labor market and into society, is language. LÄS MER

3. 27. StrideLang : Creation of a Domain-Specific Threat Modeling Language using STRIDE, DREAD and MAL

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

   Författare :Lazar Cerovic; [2022]
   Nyckelord :Meta attack language; Domain specific language; Attack graphs; Threat modeling; STRIDE; DREAD; Attack simulation; Cyber defence; Meta attack language; Domänspecifika språk; Attack grafer; Hotmodellering; STRIDE; DREAD; Attack simulering; Cyberförsvar;

   Sammanfattning : Cybersecurity is still one of the main challenges of the digital era for organizations and individuals alike. Threat modeling is an important tool for building systems that are reliable and secure. The research question for this study is to create a domain specific language (DSL) with the Meta Attack Language (MAL), STRIDE and DREAD. LÄS MER

4. 28. Federated Learning for Natural Language Processing using Transformers

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

   Författare :Gustav Kjellberg; [2022]
   Nyckelord :Machine Learning; Federated Learning; Distributed Machine Learning; Natural Language Processing; BERT; ALBERT; Transformers; Data Privacy.; Maskininlärning; Federerad inlärning; Distribuerad Maskininlärning; Språkteknologi; BERT; ALBERT; Transformers; Dataintegritet.;

   Sammanfattning : The use of Machine Learning (ML) in business has increased significantly over the past years. Creating high quality and robust models requires a lot of data, which is at times infeasible to obtain. As more people are becoming concerned about their data being misused, data privacy is increasingly strengthened. LÄS MER

5. 29. Evaluating the robustness of DistilBERT to data shift in toxicity detection

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

   Författare :Caroline Larsen; [2022]
   Nyckelord :Machine learning; Natural Language Processing; DistilBERT; Toxicity Detection; Profanity Detection; Hate Speech Identification; Text preprocessing; Maskininlärning; naturligtspråkbehandling; DistilBERT; identifiering av kränkande språk; identifiering av svordomar; textbehandling;

   Sammanfattning : With the rise of social media, cyberbullying and online spread of hate have become serious problems with devastating consequences. Mentimeter is an interactive presentation tool enabling the presentation audience to participate by typing their own answers to questions asked by the presenter. LÄS MER

7. 30. Evaluating random numbers generated on a quantum computer using the TestU01 test suite

   Kandidat-uppsats, KTH/Datavetenskap

   Författare :Jesper Lidbaum; Eskil Queseth; [2022]
   Nyckelord :;

   Sammanfattning : This report aims to examine whether quantum computers can generate true unbiased random numbers. 12.5 MB of data was generated by a quantum computer provided by IBM. This data was then analyzed with the TestU01 test suite to check if it could be considered to come from an unbiased source of randomness. LÄS MER