Sökning: "Datapartitionering"

Hittade 2 uppsatser innehållade ordet Datapartitionering.

  1. 1. A Comparative study of data splitting algorithms for machine learning model selection

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

    Författare :Delwende Eliane Birba; [2020]
    Nyckelord :K-fold; cross-validation; Kennard-Stone algorithm; data splitting; bootstrap; overfitting; SPXY; k-faldig korsvalidering; korsvalidering; Kennard-Stone-algoritm; datapartitionering; bootstrap; överanpassning; SPXY;

    Sammanfattning : Data splitting is commonly used in machine learning to split data into a train, test, or validation set. This approach allows us to find the model hyper-parameter and also estimate the generalization performance. In this research, we conducted a comparative analysis of different data partitioning algorithms on both real and simulated data. LÄS MER

  3. 2. Improving Quality of Experience through Performance Optimization of Server-Client Communication

    Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datalogi och datorsystemteknik

    Författare :Mattias Albinsson; Linus Andersson; [2016]
    Nyckelord :QoE; Performance Optimization; Data Partitioning; Network Communication; Upplevd Tjänstekvalitet; Prestandaoptimering; Datapartitionering; Nätverkskommunikation;

    Sammanfattning : In software engineering it is important to consider how a potential user experiences the system during usage. No software user will have a satisfying experience if they perceive the system as slow, unresponsive, unstable or hiding information. LÄS MER