Sökning: "Partitioning"

Visar resultat 1 - 5 av 219 uppsatser innehållade ordet Partitioning.

  1. 1. Domain Knowledge and Representation Learning for Centroid Initialization in Text Clustering with k-Means : An exploratory study

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

    Författare :David Yu; [2023]
    Nyckelord :Natural language processing; Sentiment analysis; Clustering; Language model; Transformer; Heuristic; Språkteknologi; Sentimentanalys; Klustering; Språkmodell; Transformer; Heuristik;

    Sammanfattning : Text clustering is a problem where texts are partitioned into homogeneous clusters, such as partitioning them based on their sentiment value. Two techniques to address the problem are representation learning, in particular language representation models, and clustering algorithms. LÄS MER

  3. 2. Complexity Analysis and Structural Optimization for Architecture Models of Mechatronic Systems

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Yuanyang Zhang; [2023]
    Nyckelord :Mechatronic System Design; Architecture Model; DSM; Structural Complexity; Partitioning Optimization Design; Mekatronisk Systemdesign; Arkitektur Modell; DSM; Strukturell Komplexitet; Partitionering Optimering Design;

    Sammanfattning : The design and development of mechatronic system are becoming an increasingly complex task due to the numerous disciplines involved, rapidly increasing scales, and the integration issues of different domains and technologies. The structural complexity of the architecture model design decides the quality of system design in many aspects: the scalability of the system design; usage of allocated resources which influences the computational overhead, etc. LÄS MER

  4. 3. Unsupervised Clustering of Behavior Data From a Parking Application : A Heuristic and Deep Learning Approach

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Edvard Magnell; Joakim Nordling; [2023]
    Nyckelord :ML; Machine learning; clustering; unsupervised learning; deep learning; autoencoder; AI; artificial intelligence;

    Sammanfattning : This report aims to present a project in the field of unsupervised clustering on human behavior in a parking application. With increasing opportunities to collect and store data, the demands to utilize the data in meaningful ways also increase. LÄS MER

  5. 4. Reducing costs of manual regression testing using prioritisation and partitioning techniques

    Master-uppsats, Lunds universitet/Institutionen för datavetenskap

    Författare :Erik Nord; Robin Rasmussen Vinterbladh; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : .... LÄS MER

  7. 5. Scalable Nonparametric L1 Density Estimation via Sparse Subtree Partitioning

    Master-uppsats, Uppsala universitet/Statistik, AI och data science

    Författare :Axel Sandstedt; [2023]
    Nyckelord :density estimation; scalable density estimation; nonparametric density estimation; scalable nonparametric density estimation; L1; L_1; anomaly detection; regression analysis;

    Sammanfattning : We consider the construction of multivariate histogram estimators for any density f seeking to minimize its L1 distance to the true underlying density using arbitrarily large sample sizes. Theory for such estimators exist and the early stages of distributed implementations are available. LÄS MER