Genetic Programming (GP) is gaining increased attention as an effective method for
inducing classifiers for data classification. However, the manual design of a genetic …

Geometric semantic genetic programming (GSGP) is a recent variant of genetic
programming. GSGP allows the landscape of any supervised regression problem to be …

Manifold learning, a non-linear approach of dimensionality reduction, assumes that the
dimensionality of multiple datasets is artificially high and a reduced number of dimensions is …

There has been a steep increase in the use of social media in our everyday lives in recent
years. Along with this, there has been an increase in hate speech disseminated on these …

This paper introduces a novel evolutionary approach which can be applied to supervised,
semi-supervised and unsupervised learning tasks. The method, Grammatical Evolution …

Breast cancer is known as the second largest cause of cancer deaths among women, but
thankfully it can be cured if diagnosed early. There have been many investigations on …

This work presents a novel genetic programming system for multi-class classification, called
progressively insular cooperative genetic programming (PIC GP). Based on the idea that …

Genetic programming (GP) is a general purpose artificial intelligence method, that breeds
populations of computer programs to solve a given problem, mimicking the principles of …

The importance of forests worldwide is well established throughout society, and it is well
known that deforestation has serious implications for biodiversity, for rural communities …

A classificacio 6 tanto uma das mais fundamentals tarefas no que coca a tomada de
decisdes como um dos principals tipos de problemas que a aprendizagem automatica tents …