Essays about: "Contextual Model of Learning"

Showing result 16 - 20 of 37 essays containing the words Contextual Model of Learning.

  1. 16. Not All Goals Are Created Equal : Evaluating Hockey Players in the NHL Using Q-Learning with a Contextual Reward Function

    University essay from Linköpings universitet/Databas och informationsteknik

    Author : Jon Vik; [2021]
    Keywords : Sports Analytics; Markov Game; Machine Learning; Reinforcement Learning; Q-Learning; Data Mining; National Hockey League; Ice Hockey; Reward Function; Player Evaluation;

    Abstract : Not all goals in the game of ice hockey are created equal: some goals increase the chances of winning more than others. This thesis investigates the result of constructing and using a reward function that takes this fact into consideration, instead of the common binary reward function. READ MORE

  3. 17. Closed-Loop EEG BCI: VR and Electrical Stimulation to treat Neuropathic Pain

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Shreya Kohli; [2021]
    Keywords : ;

    Abstract : Chronic pain is a life-threatening disease affecting over 20% of theU.S. adult population as of 2016. It impacts the physical as well as emotional components of a human being significantly affecting a person’s quality of life. READ MORE

  4. 18. Semantic Topic Modeling and Trend Analysis

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Jasleen Kaur Mann; [2021]
    Keywords : NLP; unsupervised topic modelling; trend analysis; LDA; BERT; Sentence-BERT; TF-IDF; transformer based language models; document clustering;

    Abstract : This thesis focuses on finding an end-to-end unsupervised solution to solve a two-step problem of extracting semantically meaningful topics and trend analysis of these topics from a large temporal text corpus. To achieve this, the focus is on using the latest develop- ments in Natural Language Processing (NLP) related to pre-trained language models like Google’s Bidirectional Encoder Representations for Transformers (BERT) and other BERT based models. READ MORE

  5. 19. Improving Dialogue Context and Repeatability in Human-Robot Interaction

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

    Author : Andrej Wilczek; [2021]
    Keywords : Natural Language Processing; Natural Language Generation; Human-Robot Interaction; Context-based; Telepresence; Naturlig språkbehandling; Generering av naturligt språk; Människa-Robot- Interaktion; Kontextbaserad; Telepresence;

    Abstract : Natural Language Generation and generating believable verbal communication are critical components in the development of social robots. The work presented in this paper is based on the sequence-to-sequence model and is focused on improving context and repeatability through the inclusion of task- specific information. READ MORE

  6. 20. Exploring Transformer-Based Contextual Knowledge Graph Embeddings : How the Design of the Attention Mask and the Input Structure Affect Learning in Transformer Models

    University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Author : Oskar Holmström; [2021]
    Keywords : Knowledge Graph; Knowledge Graph Embedding; Embedding; Transformer model; BERT; Attention mask;

    Abstract : The availability and use of knowledge graphs have become commonplace as a compact storage of information and for lookup of facts. However, the discrete representation makes the knowledge graph unavailable for tasks that need a continuous representation, such as predicting relationships between entities, where the most probable relationship needs to be found. READ MORE