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The field of machine learning (ML) is concerned with the question of how to construct algorithms that automatically improve with experience. In recent years many successful ML applications have been developed, such as da...

Este trabajo propone un modelo de aprendizaje que combina un refuerzo lineal aplicado a las ponderaciones asignadas a los atributos que caracterizan a un caso, con umbrales de decisión dinámicos que son ajustados a par...

Neste trabalho é apresentada a arquitetura do kNNSumm (k-NN Summarizer), um sumarizador automático de documentos que utiliza o aprendizado de máquina baseado em instâncias. Também são apresentados os resultados obt...

Atualmente, devido ao volume grande de texto disponível em meios digitais, a classificação automática de documentos se torna uma tarefa importante da área do Tratamento Automatizado de Informações. Neste artigo de...

Mountain papaya fruits (Vasconcella pubescens) were tested for firmness with a nondestructive acoustic method for 14 days after harvest. The response of each fruit was analyzed with the Fourier transform to obtain a firm...

Clustering techniques can be used as a basis for classification systems in which clusters can be classified into two categories: positive and negative. Given a new instance enew, the classification algorithm is applied t...

Nowadays information circulates quickly in a human organization, what generates an internal difficulty in preserving inside the organization essential information to support decision-making. Decision Support Systems (DSS...

This article introduces an approach to anomaly intrusion detection based on a combination of supervised and unsupervised machine learning algorithms. The main objective of this work is an effective modeling of the TCP/IP...