Sökning: "sampling optimization"

Visar resultat 1 - 5 av 80 uppsatser innehållade orden sampling optimization.

  1. 1. Optimising Machine Learning Models for Imbalanced Swedish Text Financial Datasets: A Study on Receipt Classification : Exploring Balancing Methods, Naive Bayes Algorithms, and Performance Tradeoffs

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Li Ang Hu; Long Ma; [2023]
    Nyckelord :Imbalanced datasets; Swedish text financial datasets; Accuracy; Matthews correlation coefficient; Recall; Multinomial Naive Bayes; SMOTE; TomekLinks; Performance optimization;

    Sammanfattning : This thesis investigates imbalanced Swedish text financial datasets, specifically receipt classification using machine learning models. The study explores the effectiveness of under-sampling and over-sampling methods for Naive Bayes algorithms, collaborating with Fortnox for a controlled experiment. LÄS MER

  3. 2. Neural Networks for Predictive Maintenance on Highly Imbalanced Industrial Data

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Oscar Montilla Tabares; [2023]
    Nyckelord :Class Imbalance; Cost Sensitivity; Cost-Sensitive Learning; Focal Loss; Binary Classification; Machine Learning; Deep Learning;

    Sammanfattning : Preventive maintenance plays a vital role in optimizing industrial operations. However, detecting equipment needing such maintenance using available data can be particularly challenging due to the class imbalance prevalent in real-world applications. LÄS MER

  4. 3. Stochastic Frank-Wolfe Algorithm : Uniform Sampling Without Replacement

    Master-uppsats, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Olof Håkman; [2023]
    Nyckelord :Stochastic Frank-Wolfe; Stochastic optimization; Sampling without replacement;

    Sammanfattning : The Frank-Wolfe (FW) optimization algorithm, due to its projection free property, has gained popularity in recent years with typical application within the field of machine learning. In the stochastic setting, it is still relatively understudied in comparison to the more expensive projected method of Stochastic Gradient Descent (SGD). LÄS MER

  5. 4. Effektivisering av testmetod för produkter med låga plastytvikter : Streamlining the test method for products with low plastic surface weights

    Uppsats för yrkesexamina på grundnivå, Örebro universitet/Institutionen för naturvetenskap och teknik

    Författare :Simon Azcárate; Patricia Hellman Rönnqvist; [2023]
    Nyckelord :plastic surface weight; extrusion; Lean; streamlining; plastytvikt; extrudering; Lean; effektivisering;

    Sammanfattning : Arbetet syftar till att hitta en effektivare metod för testning av produkter med låga plastytvikter. Problemet i dagsläget är att metoden är tidskrävande och kräver ett handhavande av personalen. LÄS MER

  7. 5. Intelligent reflective vest with implementation of ETSI VAM protocol : Development and testing of an embedded system for the protection of Vulnerable Road Users

    Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Linnéa Olsson; Markus Rydeberg; [2023]
    Nyckelord :;

    Sammanfattning : This master thesis presents a wearable, ETSI-compliant system for protecting Vulnerable Road Users (VRUs). The study explores the current ETSI VAM parameters, which are too similar to vehicle pa- rameters and may react differently to different types of VRUs, gen- erating an excessive or insufficient number of VAMs, and potentially jeopardizing VRU safety. LÄS MER