Applying wrapper-based variable selection techniques to predict MFIs profitability: evidence from Peru

Applying Feature-Selection Algorithm to Predict Landslide in the Southwest of Iran

Extended abstract 1- INTRODUCTION Nowadays people have an increased sensitivity towards landslides especially in mountainous areas using change in the land use and the expansion of communication networks (Gvrsysky et al., 2006). In the twentieth century, Asia has allocated the highest incident of landslides (220 landslides). Latin America has had the highest number of casualties (more than 2,...

Quality-Based Competition, Profitability, and Variable Costs

Applying the PR-EOS to Predict the Onset of Asphaltene Precipitation from n-Alkane Diluted Bitumens

Asphaltenes are the n-pentane or n-heptane insoluble fractions of crude oil that remain in solution under reservoir temperature and pressure conditions. They are destabilized and start to precipitate when the pressure, temperature and/or composition changes occur during primary production. The precipitated asphaltene particles will then grow in size and may start to deposit onto the product...

Wrapper Based Feature Selection for Ct Image

Diagnostic imaging is invaluable. Magnetic Resonance Imaging (MRI), digital mammography, Computed Tomography (CT), and others ensure effective noninvasive mapping of a subject’s anatomy, and increased normal and diseased anatomy knowledge for medical research in addition to being a critical component in diagnosis and treatment. In this work various feature selection algorithms are investigated ...

Applying microarray ‐ based techniques