Avancerad sökning

Visar resultat 1 - 5 av 12 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Trade-offs between Quality and Efficiency in Multilingual Dense Retrieval

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Emma Schüldt; [2022]
    Nyckelord :Dense retrieval; Binary Retrieval; Semantic search; ColBERT; Multilingual; MSMarco; Tät informationssökning; Binär informationssökning; Semantisk sökning; ColBERT; Flerspråkig; MS Marco;

    Sammanfattning : As the amount of content online grows, information retrieval becomes increasingly crucial. Traditional information retrieval does not take the text order into account and is also dependent on exact text matching between the query and the document. LÄS MER

  3. 2. Role of Context in Episodic Memory : A Bayesian-Hebbian Neural Network Model of Episodic Recall

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Rohan Raj; [2022]
    Nyckelord :episodic memory; long-term memory; Bayesian Confidence Propagation Neural Network; synaptic plasticity; plasticity modulation; computational neuroscience;

    Sammanfattning : Episodic memory forms a fundamental aspect of human memory that accounts for the storage of events as well as the spatio-temporal relations between events during a lifetime. These spatio-temporal relations in which episodes are embedded can be understood as their contexts. Contexts play a crucial role in episodic memory retrieval. LÄS MER

  4. 3. Is Successful Retrieval Of Memory Inherently Satisfying?

    Master-uppsats, Umeå universitet/Institutionen för psykologi

    Författare :Michael John Christopher Wells; [2021]
    Nyckelord :curiosity; memory; satisfaction; encoding; recall; reward; nyfikenhet; minne; tillfredsställelse; kodning; återkallelse; belöning;

    Sammanfattning : Previous studies concerning the study of Curiosity have found the presence of a reward mechanism when Curiosity is satiated. This study aims to investigate whether this reward mechanism might be extrapolated to other cognitive systems, specifically that of long-term memory. LÄS MER

  5. 4. Machine Learning with Reconfigurable Privacy on Resource-Limited Edge Computing Devices

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Zannatun Nayem Tania; [2021]
    Nyckelord :Data Privacy; Resource Management; Machine Learning; Fitbit; Internet of Things IoT ; Optimization; Dataintegritet; Resurshantering; Machine Learning; Fitbit; Internet of Things IoT ; Optimering;

    Sammanfattning : Distributed computing allows effective data storage, processing and retrieval but it poses security and privacy issues. Sensors are the cornerstone of the IoT-based pipelines, since they constantly capture data until it can be analyzed at the central cloud resources. However, these sensor nodes are often constrained by limited resources. LÄS MER

  7. 5. Kom ihåg att glömma : Adaptiv glömska, oro, ruminering & påträngande tankar

    Master-uppsats, Örebro universitet/Institutionen för juridik, psykologi och socialt arbete

    Författare :Arvid Sylvan; Jonas Lindell; [2020]
    Nyckelord :adaptiv glömska; retrieval-induced forgetting; oro; ruminering; påträngande tankar;

    Sammanfattning : Retrieval induced forgetting är ett fenomen som uppstår när återkallande av information skapar glömska för annan relaterad information. Detta tros vara en av processerna som understödjer adaptiv glömska, en process där icke-relevant och störande information inhiberas för att premiera minne för relevant information. LÄS MER