Essays about: "Binary classification"

Showing result 16 - 20 of 217 essays containing the words Binary classification.

  1. 16. Machine Learning based Predictive Data Analytics for Embedded Test Systems

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Fayad Al Hanash; [2023]
    Keywords : Machine learning; Artificial Intelligence; Predictive data analytics; Embedded test systems; Confusion matrix; Predictive maintenance; Support vector machines; Random forest; Gradient Boosting; Multi-layer perceptron; Binary classification; Multi-class classification;

    Abstract : Organizations gather enormous amounts of data and analyze these data to extract insights that can be useful for them and help them to make better decisions. Predictive data analytics is a crucial subfield within data analytics that make accurate predictions. Predictive data analytics extracts insights from data by using machine learning algorithms. READ MORE

  3. 17. A Comparative Analysis of Decision Tree Models in Identifying Landslide Susceptibility and Type Classification

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Levi Jan Zuiverloon; [2023]
    Keywords : Landslides; landslide susceptibility mapping; Random Forest; Extreme Gradient Boosting; machine learning models; multiclass classification; binary classification; risk assessment; mitigation strategies; Italy; Aosta Valley; infrastructure vulnerability; supervised learning algorithms; Earth and Environmental Sciences;

    Abstract : Landslides pose a significant risk to human life and infrastructure, especially in Italy, which has a high frequency of landslide occurrences. To mitigate these hazards, Landslide Susceptibility Mapping (LSM) is crucial for identifying risk areas and developing appropriate mitigation strategies. READ MORE

  4. 18. A Rank Score Model of Variants Prioritization for Rare Disease

    University essay from Uppsala universitet/Institutionen för biologisk grundutbildning

    Author : Nanxing Liu; [2023]
    Keywords : machine learning; variants; rare disease;

    Abstract : The diagnosis of genetic illnesses has undergone a revolution with advancements in sequencing technology. Next-generation sequencing (NGS) has become a standard practice in genetic diagnostics, enabling the identification of various genetic variations. READ MORE

  5. 19. Quantum Algorithms for Feature Selection and Compressed Feature Representation of Data

    University essay from KTH/Fysik

    Author : William Laius Lundgren; [2023]
    Keywords : Feature selection; autoencoders; quantum machine learning; quantum circuits; quantum annealing; Funktionsval; datakompression; kvantmaskininlärning; kvantalgoritmer; kvantkretsar;

    Abstract : Quantum computing has emerged as a new field that may have the potential to revolutionize the landscape of information processing and computational power, although physically constructing quantum hardware has proven difficult,and quantum computers in the current Noisy Intermediate Scale Quantum (NISQ) era are error prone and limited in the number of qubits they contain.A sub-field within quantum algorithms research which holds potential for the NISQ era, and which has seen increasing activity in recent years, is quantum machine learning, where researchers apply approaches from classical machine learning to quantum computing algorithms and explore the interplay between the two. READ MORE

  6. 20. An Evaluation of Classical and Quantum Kernels for Machine Learning Classifiers

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

    Author : Teo Nordström; Jacob Westergren; [2023]
    Keywords : Machine Learning; Quantum Computing; Kernels; Support Vector Machines; Maskininlärning; Kvantberäkning; Kärnor; Stödvektormaskin;

    Abstract : Quantum computing is an emerging field with potential applications in machine learning. This research project aimed to compare the performance of a quantum kernel to that of a classical kernel in machine learning binary classification tasks. READ MORE