Essays about: "apprentissage"

Showing result 1 - 5 of 7 essays containing the word apprentissage.

  1. 1. Deep Reinforcement Learning on Social Environment Aware Navigation based on Maps

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

    Author : Victor Sanchez; [2023]
    Keywords : Deep Reinforcement Learning; Environment-aware navigation; Robotics; Artificial Intelligence; Apprentissage par renforcement profond; Navigation consciente de l’humain; Intelligence Artificielle; Robotique; Djup Förstärkande Inlärning; Människomedveten navigering; Robotik; Artificiell Intelligens;

    Abstract : Reinforcement learning (RL) has seen a fast expansion in recent years of its successful application to a range of decision-making and complex control tasks. Moreover, deep learning offers RL the opportunity to enlarge its spectrum of complex fields. READ MORE

  3. 2. Transformer-Based Multi-scale Technical Reports Analyser for Science Projects Cost Prediction

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

    Author : Thomas Bouquet; [2023]
    Keywords : Natural Language Processing; Transformers; Deep Learning; Cost Prediction; Traitement Automatique du Langage; Transformers; Apprentissage Profond; Prédiction de coûts; Behandling av naturligt språk; Transformers; Djupinlärning; Kostnadsförutsägelser;

    Abstract : Intrinsic value prediction is a Natural Language Processing (NLP) problem consisting in determining a numerical value contained implicitly and non-trivially in a text. In this project, we introduce the SWORDSMAN model (Sentence and Word-level Oracle for Research Documents by Semantic Multi-scale ANalysis), a deep neural network architecture based on transformers whose goal is to predict the cost of research projects from the analysis of their abstract. READ MORE

  4. 3. Hybrid Deep Learning Model for Cellular Network Traffic Prediction : Case Study using Telecom Time Series Data, Satellite Imagery, and Weather Data

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

    Author : Ali Shibli; [2022]
    Keywords : Cellular network traffic; multi-modal; satellite imagery; weather data; LSTM; CNN; time series; Trafic sur les réseaux cellulaires; multimodal; imagerie satellite; données météo; LSTM; CNN; séries temporelles; Förutsägelse av mobilnätstrafik; multimodal modell; satellitbilder; väderdata; LSTM; CNN; tidsseriein;

    Abstract : Cellular network traffic prediction is a critical challenge for communication providers, which is important for use cases such as traffic steering and base station resources management. Traditional prediction methods mostly rely on historical time-series data to predict traffic load, which often fail to model the real world and capture surrounding environment conditions. READ MORE

  5. 4. Finding duplicate offers in the online marketplace catalogue using transformer based methods : An exploration of transformer based methods for the task of entity resolution

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

    Author : Robert-Andrei Damian; [2022]
    Keywords : Transformers; Language Models; Deep Neural Networks; Entity Resolution; Duplicate Detection; Entity Matching; Record Linkage; Contrastive Learning; e-commerce; Transformers; Modèles de langage; Apprentisage en profondeur; Résolution d’entité; Détection de doublons; Apprentisage contrastif; commerce électronique; Transformers; Språkmodeller; Djupinlärning; Entitetserkännande; Dubblettdetektering; Entitetsmatchning; Rekordkoppling; e-handel;

    Abstract : The amount of data available on the web is constantly growing, and e-commerce websites are no exception. Considering the abundance of available information, finding offers for the same product in the catalogue of different retailers represents a challenge. This problem is an interesting one and addresses the needs of multiple actors. READ MORE

  6. 5. RAISING A NEW COLLECTIVE VOICE THROUGH GREENFIELD UNION ORGANISING : The mobilisation and unionisation of workers and the establishment of a collective agreement at Foodora in Sweden

    University essay from Mälardalens högskola/Akademin för hälsa, vård och välfärd

    Author : Sophie Banasiak; [2021]
    Keywords : workforce fragmentation; food-delivery platforms; greenfield organising; unions; collective agreement; agency; structures; interactions; resources mobilisation; learning; strategy; institutional change; fragmentation du travail; plateformes de livraison de repas; implantation syndicale; syndicats; accord collectif; agence; structures; interactions; mobilisation des ressources; apprentissage; stratégie; changement institutionnel; fragmentering av arbetsstyrka; matleveransplattformar; greenfield-organisering; fackföreningar; kollektivavtal; mänskligt agentskap; strukturer; interaktioner; mobilisering av resurser; lärande; strategiskt handlande; institutionell förändring;

    Abstract : Following an actor-centred approach to institutional change, the aim of the study was to explore the process of ‘greenfield organising’ through which unions and collective bargaining structures are established in workplaces where there are none initially. A qualitative theory-oriented single case study, using some principles of the grounded theory, analysed the organising process and negotiations at Foodora in Sweden that resulted in a collective agreement. READ MORE