Essays about: "categorical features"

Showing result 16 - 18 of 18 essays containing the words categorical features.

  1. 16. Clustering and Anomaly Detection in Financial Trading Data

    University essay from Lunds universitet/Matematisk statistik

    Author : Erik Norlander; [2019]
    Keywords : Variational Autoencoder; Generative Models; Latent Space; Dimensionality Reduction; Unsupervised Learning; Anomaly Detection; Clustering; Gaussian Mixture Models; Isolation Forest.; Mathematics and Statistics;

    Abstract : In this thesis we propose a new form of Variational Autoencoder called the Conditional Latent Space Variational Autoencoder or CL-VAE. By conditioning on a known label in a dataset we can decide what points are being mapped to what prior distribution. This makes the latent space more understandable and separates the classes further. READ MORE

  2. 17. An investigation of categorical variable encoding techniques in machine learning: binary versus one-hot and feature hashing

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

    Author : Cedric Seger; [2018]
    Keywords : categorical features; feature hashing; binary encoding; classi- fication; kategoriska variabler; feature hashing; binär kodning; klassi- ficering;

    Abstract : Machine learning methods can be used for solving important binary classification tasks in domains such as display advertising and recommender systems. In many of these domains categorical features are common and often of high cardinality. READ MORE

  3. 18. Enabling the future of Operational Risk Management : A research on the encoding of categorical data insupervised deep learning models

    University essay from Linköpings universitet/Matematisk statistik

    Author : Carin Stjernefeldt; [2018]
    Keywords : deep learning; categorical features; classification; one-hot encoding;

    Abstract : Non-numerical data such as names of persons, cities, brands or artifacts are common in many fields and can provide great value to different types of mathematical models. In order to use these so-called categorical values in numerical models, including most ma-chine learning methods, the information has to be re-coded into something numerically interpretable. READ MORE