Browsing by Subject "Feature selection"
Now showing items 1-5 of 5
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Comprehensive neural network forecasting system for ground level ozone in multiple regions
(2015-12-07)A comprehensive neural network daily maximum 8 hour-ozone forecasting model was developed based on five years of data (2010-2014) collected from 50 monitoring sites from the Dallas Fort Worth, Houston-Galveston-Brazoria, ... -
DATA SCIENCE APPLICATIONS IN HEALTH AN SOCIAL CARE
(2018-12-04)Health and social care are areas of concern worldwide nowadays. Chronic diseases such as cancer and social problems such as tobacco consumption are leading risks of deaths in many countries, and preventive efforts are ... -
Efficient Algorithms and Human-in-the-loop Approaches for Attribute Design and Selection
(2022-04-14)Feature engineering and feature selection are two important aspects of data science pipeline. Due to the advancement of data collection techniques in recent years, huge amount of data is becoming available in different ... -
FEATURE SELECTION AND DATA RECONSTRUCTION VIA ROBUST AND FLEXIBLE LEARNING MODELS
(2020-05-16)Feature selection and data reconstruction are very important topics in machine learning area. In today's big data environment, many data could have high dimensions and come with noise, corruption, etc. Thus, we develop ... -
Feature Selection Using an Extended Piecewise Linear Orthonormal Floating Search
(2016-12-20)The piecewise linear orthonormal floating search (PLOFS) is a wrapper method for feature selection that uses a piecewise linear network (PLN) to evaluate candidate subsets. PLOFS has difficulty working on high dimensional ...