Essays about: "inbäddning"

Showing result 16 - 20 of 36 essays containing the word inbäddning.

1. 16. Software Issue Time Estimation With Natural Language Processing and Machine Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Martin Hyberg; [2021]
   Keywords : Natural Language Processing; Regression; Classification; Time Estimation; Software Issues; Word2Vec; FastText; Språkteknologi; Regression; Klassificering; Tidsuppskattning; Mjukvaruärenden; Word2Vec; FastText;

   Abstract : Time estimation for software issues is crucial to planning projects. Developers and experts have for many decades tried to estimate time requirements for issues as accurately as possible. The methods that are used today are often time-consuming and complex. READ MORE

3. 17. Flight search engine CPU consumption prediction

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Zhaopeng Tao; [2021]
   Keywords : Flight Search Engine; Deep Neural Networks; Tabular Data; Regression; Machine Learning; Flight Schedule Embedding; Node Embedding; Graph Embedding; Line Graph Embedding; Sökmotor för flygresor; Djupa neurala nätverk; Tabulära data; Regression; Maskininlärning; Inbäddning av flygschema; Inbäddning av noder; Inbäddning av grafer; Inbäddning av linjediagram;

   Abstract : The flight search engine is a technology used in the air travel industry. It allows the traveler to search and book for the best flight options, such as the combination of flights while keeping the best services, options, and price. The computation for a flight search query can be very intensive given its parameters and complexity. READ MORE

4. 18. Deep Learning Approaches for Clustering Source Code by Functionality

   University essay from KTH/Matematisk statistik

   Author : Marcus Hägglund; [2021]
   Keywords : Deep learning; Cluster Analysis; Source Code; Code2Vec; cuBERT; Djupinlärning; Klusteranalys; Källkod; Code2Vec; cuBERT;

   Abstract : With the rise of artificial intelligence, applications for machine learning can be found in nearly everyaspect of modern life, from healthcare and transportation to software services like recommendationsystems. Consequently, there are now more developers engaged in the field than ever - with the numberof implementations rapidly increasing by the day. READ MORE

5. 19. The Moral Economy of Swedish Labour Market Co-operation and Job Security in the Neoliberal Era

   University essay from Uppsala universitet/Institutionen för kulturantropologi och etnologi

   Author : James Fleming; [2021]
   Keywords : Moral economy; embedding; industrial relations; Sweden; corporatism; co-operation; job security; ne- oliberalism; labour market negotiations; unions; employer organisations; anthropology; political econ- omy; de-commodification; social peace; Inbäddning; Sverige; samarbete; arbetssäkerhet; nyliberalism; arbetsmarknadsparter; arbetsmarknadsrelationer; arbetsmarknad; förhandlingar; fackförbund; facket; arbetsgivarorganisation; antropologi; social fred; kommodifiering; Svenskt näringsliv; LO; anställningskydd; Las;

   Abstract : In the neoliberal era, there has been a global trend towards increased labour market insecurity and inequality, even in countries traditionally emblematic of union strength and socio-economic security such as Sweden. In this study, I present the first ethnographic research conducted in anthropology of negotiations between the central Swedish union and employer peak bodies (known as the ‘labour market partners’). READ MORE

6. 20. Experiments in speaker diarization using speaker vectors

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Ming Cui; [2021]
   Keywords : Speaker Diarization; Embedding Extraction Module; Deep Learning; Supervised method; Unsupervised method; Talardiarisering; inbäddning av extraktionsmodul; djupinlärning; övervakad metod; oövervakad metod;

   Abstract : Speaker Diarization is the task of determining ‘who spoke when?’ in an audio or video recording that contains an unknown amount of speech and also an unknown number of speakers. It has emerged as an increasingly important and dedicated domain of speech research. READ MORE