One of the main challenges in applying machine learning algorithms to biological sequence data is how to numerically represent a sequence in a numeric input vector. Feature extraction techniques capable of extracting ...

Reflections on the complexity of mathematical objects, and the connection of the components of this complexity, are frequent in many of the theoretical approaches used in the area of Mathematics Education. As a consequence ...

Numerical sequences represent a very important part of study in Mathematics, being studied from elementary school to advanced levels of research. An important application of sequences can be found in biological models of ...

As consequence of the various genomic sequencing projects, an increasing volume of biological sequence data is being produced. Although machine learning algorithms have been successfully applied to a large number of genomic ...

Conducting sequencing experiments with good statistical properties and low cost is a crucial challenge for both researchers and practi-tioners. The main reason for this challenge is the combinatorial nature of the problem ...

This monograph deals with some fundamental concepts of Interval Analysis and its applications. The core concept of this theory is dealing with variables given by closed intervals instead of real numbers. Interval Arithmetic ...

This work presents a proposal of an approach that allows high school teachers to deal with the concept of real number sequences, especially P.A., P.G. and P.H.. We illustrate the applications of these sequences and elaborate ...