Essays about: "hybridmodell"

Showing result 1 - 5 of 14 essays containing the word hybridmodell.

  1. 1. Ion and ENA precipitation onto the upper atmosphere of Venus : Estimate of precipitation maps using data from a hybrid model

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

    Author : Lorenzo Obersnel; [2023]
    Keywords : Eneregetic Neutral Atoms; Venus; Ion precipitation; ENA precipitation; Atomi Neutri Energetici; Venere; precipitazione di ioni; precipitazione di atomi neutri; Energisk Neutral Atom; Venus; Utfällningen joner; Utfällningen Energisk Neutral Atom;

    Abstract : Venus does not have a strong intrinsic magnetic field as the Earth, and its magnetosphere is induced by the interaction of the solar wind with the ionosphere. The near-Venus space environment is characterized by the presence of a bow shock and of an induced magnetic boundary linked to the interplanetary magnetic field orientation. READ MORE

  2. 2. Utilizing GPT for Interactive Dialogue-based Learning Scenarios : A Comparative Analysis with Rasa

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

    Author : Valdimar Björnsson; [2023]
    Keywords : Generative Pretrained Transformer; Rasa; Interactive Tutoring Systems; Conversational AI; Education Technology; Generativ förtränad transformator; Rasa; interaktiva handledningssystem; Conversational AI; Education Technology;

    Abstract : This thesis explores the use of advanced language models, specifically OpenAI’s Generative Pretrained Transformer (GPT), in the context of interactive tutoring systems built within a Unity-based game environment. The central problem addressed is whether the recent advancements in large language models make them feasible and useful to function as tutors specifically in providing meaningful, engaging, and educationally rich user interactions on a dialogue based learning platform developed by Fictive Reality. READ MORE

  3. 3. Evaluating Cold-Start in Recommendation Systems Using a Hybrid Model Based on Factorization Machines and SBERT Embeddings

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

    Author : Sabrina Chowdhury; [2022]
    Keywords : Natural Language Processing; Hybrid Recommender Systems; Cold-Start Problem; språkteknologi; hybrida rekommendationssystem; kallstartsproblemet;

    Abstract : The item cold-start problem, which describes the difficulty of recommendation systems in recommending new items to users, remains a great challenge for recommendation systems that rely on past user-item interaction data. A popular technique in the current research surrounding the cold-start problem is the use of hybrid models that combine two or more recommendation strategies that may contribute with their individual advantages. READ MORE

  4. 4. Estimating the Expected Pay-out of Earnout Contracts in Private Acquisitions

    University essay from KTH/Matematik (Avd.)

    Author : Adam Wuilmart; Erik Harrysson; [2022]
    Keywords : Earnout Contracts; Valuation; Mergers Acquisitions; Private Equity; Monte Carlo Simulation; Contingent Considerations; Tilläggsköpeskilling; Värdering; Bolagsförvärv; Black-Scholes; Monte Carlo Simulering; Optioner;

    Abstract : The growth of private equity, as well as consolidation trends across other industries, have produced a strong and vibrant mergers and acquisitions market. A challenge during these acquisitions is information asymmetry, which makes agreeing on the transaction price a challenge. READ MORE

  5. 5. Utilizing Hybrid Ensemble Prediction Model In Order to Predict Energy Demand in Sweden : A Machine-Learning Approach

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

    Author : Binxin Su; [2022]
    Keywords : Energy Demand Prediction; Machine Learning; Hybrid Model; Ensemble Model; Random Forest; XGBoost; CatBoost; Prognos av Energiefterfrågan; Maskininlärning; Hybridmodell; Ensemblemodell; Random Forest; XGBoost; CatBoost;

    Abstract : Conventional machine learning (ML) models and algorithms are constantly advancing at a fast pace. Most of this development are due to the implementation of hybrid- and ensemble techniques that are powerful tools to complement and empower the efficiency of the algorithms. READ MORE