Abstract: The purpose of this paper is to compare the effectiveness of two data transformation methods for categorical text variables: one hot encoding and hashing_trick. The analysis was performed ...

Abstract: In this article we propose a lightning fast graph embedding method called one-hot graph encoder embedding. It has a linear computational complexity and the capacity to process billions of ...

Computational methods in protein engineering often require encoding amino acid sequences, i.e., converting them into numeric arrays. Physicochemical properties are a typical choice to define encoders, ...

One hot encoding is crucial for converting categorical data into a numerical format suitable for machine learning models. Data preprocessing is an essential step before building deep learning models, ...

Machine Learning models work with numbers. That is, they are mathematical models which improve themselves by performing mathematical optimization. It possibly makes the hype a little bit less ...

A command-line utility program for automating the trivial, frequently occurring data preparation tasks: missing value interpolation, outlier removal, and encoding categorical variables. This ...

Thanks to today’s ultra high definition video and increasing complex demands for video editing, a new video format has risen to the throne, called H.265. This format, popularized by x265 and other ...