Essays about: "threshold based classification"

Showing result 1 - 5 of 43 essays containing the words threshold based classification.

  1. 1. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging

    University essay from Lunds universitet/Matematik LTH

    Author : Marisa Wodrich; [2024]
    Keywords : Uncertainty quantification; Deep learning; Breast cancer classification; Trustworthy AI; Point-of-care ultrasound; Mathematics and Statistics;

    Abstract : Breast cancer is the most common type of cancer worldwide with an estimate of 2.3 million new cases in 2020, and the number one cause of cancer-related deaths in women. READ MORE

  3. 2. Decoding the surface code using graph neural networks

    University essay from Göteborgs universitet / Institutionen för fysik

    Author : Moritz Lange; [2023-10-17]
    Keywords : ;

    Abstract : Quantum error correction is essential to achieve fault-tolerant quantum computation in the presence of noisy qubits. Among the most promising approaches to quantum error correction is the surface code, thanks to a scalable two-dimensional architecture, only nearest-neighbor interactions, and a high error threshold. Decoding the surface code, i.e. READ MORE

  4. 3. Clustering and classification of prepaid mortgages

    University essay from KTH/Matematik (Avd.)

    Author : Jakob Atli Thorsteinsson; [2023]
    Keywords : Clustering; Classification; Klustring; Klassificering;

    Abstract : This thesis aims to cluster and classify mortgages issued by a financial institution. The aim is to apply machine learning techniques on historical data in order to discover a possible structure and predictability in prepaid mortgages. READ MORE

  5. 4. Dataset Drift in Radar Warning Receivers : Out-of-Distribution Detection for Radar Emitter Classification using an RNN-based Deep Ensemble

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Kevin Coleman; [2023]
    Keywords : Radar Emitter Classification; Pulse Descriptor Word; Out of Distribution Detection; Dataset Drift; Uncertainty Estimation; Deep Ensembles; Recurrent Neural Networks; LSTM;

    Abstract : Changes to the signal environment of a radar warning receiver (RWR) over time through dataset drift can negatively affect a machine learning (ML) model, deployed for radar emitter classification (REC). The training data comes from a simulator at Saab AB, in the form of pulsed radar in a time-series. READ MORE

  6. 5. Predicting the threshold grade for university admission through Machine Learning Classification Models

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

    Author : Anas Almawed; Anton Victorin; [2023]
    Keywords : Admission data; Data Classification; Machine Learning; Logistic Regression; Support Vector Machine; Decision Tree Classifier; Random Forest; Antagningsdata; Dataklassificering; Maskininlärning; Logistic Regression; Support Vector Machine; Decision Tree Classifier; Random Forest;

    Abstract : Higher-level education is very important these days, which can create very high thresholds for admission on popular programs on certain universities. In order to know what grade will be needed to be admitted to a program, a student can look at the threshold from previous years. READ MORE