Essays about: "retraining"

Showing result 16 - 20 of 40 essays containing the word retraining.

  1. 16. Differential Deep Learning for Pricing Exotic Financial Derivatives

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

    Author : Erik Alexander Aslaksen Jonasson; [2021]
    Keywords : Deep Learning; Exotic Derivatives; Differential Machine Learning;

    Abstract : Calculating the value of a financial derivative is a central problem in quantitative finance. For many exotic derivatives there are no closed-form solutions for present values, instead, computationally expensive Monte Carlo methods are used for valuation. READ MORE

  3. 17. The use of gamified learning experiences to drive reskilling

    University essay from Linnéuniversitetet/Institutionen för informatik (IK)

    Author : Mathias Norhardt; [2021]
    Keywords : Gamification; Reskilling; digitally gamified learning experiences;

    Abstract : Before the start of the industrial revolution the workplace has been ever changing with introduction of technologies. With the adoption of automation and artificial intelligence this marks an acceleration shift compared to the past. READ MORE

  4. 18. Evaluation of Approaches for Representation and Sentiment of Customer Reviews

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

    Author : Stavros Giorgis; [2021]
    Keywords : machine learning; nlp; text analytics; sentiment analysis; transformers; tfidf; bow; fasttext; word2vec; bert; xlnet; roberta; maskininlärning; nlp; textanalys; sentimentanalys; transformatorer; tfidf; bow; fasttext; word2vec; bert; xlnet; roberta;

    Abstract : Classification of sentiment on customer reviews is a real-world application for many companies that offer text analytics and opinion extraction on customer reviews on different domains such as consumer electronics, hotels, restaurants, and car rental agencies. Natural Language Processing’s latest progress has seen the development of many new state-of-the-art approaches for representing the meaning of sentences, phrases, and words in the text using vector space models, so-called embeddings. READ MORE

  5. 19. Graph Neural Networks for Article Recommendation based on Implicit User Feedback and Content

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

    Author : Márk Bereczki; [2021]
    Keywords : Recommender systems; Implicit recommendation; Graph neural networks; Simple Graph Convolution; Natural language processing; Rekommendationssystem; Implicit rekommendation; Grafneurala nätverk; Simple Graph Convolution; Naturlig språkbehandling;

    Abstract : Recommender systems are widely used in websites and applications to help users find relevant content based on their interests. Graph neural networks achieved state- of-the- art results in the field of recommender systems, working on data represented in the form of a graph. READ MORE

  6. 20. Exploring attribution methods explaining atrial fibrillation predictions from sinus ECGs : Attributions in Scale, Time and Frequency

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

    Author : Svante Sörberg; [2021]
    Keywords : Explainable Artificial Intelligence XAI ; Explainability; Paroxysmal Atrial Fibrillation; Feature Attribution; Förklaringsbar Artificiell Intelligens; Förklarbarhet; Paroxysmalt Förmaksflimmer; Särdragsattribution;

    Abstract : Deep Learning models are ubiquitous in machine learning. They offer state-of- the-art performance on tasks ranging from natural language processing to image classification. The drawback of these complex models is their black box nature. It is difficult for the end-user to understand how a model arrives at its prediction from the input. READ MORE