During any investigative work, it is necessary to confront our solutions to the already existing
ones. This requires much work, namely to try to recreate the competing solutions and to use …

Brier Curves: a New Cost-Based Visualisation of Classifier Performance Page 1 Brier Curves: a
New Cost-Based Visualisation of Classifier Performance J. Hernández-Orallo1 and P. Flach2 …

With the continuous increase in the amount of data that needs to be processed by digital
mobile systems, energy-efficient computation has become a critical design constraint for …

We develop a common theoretical framework for the combination of classifiers using distinct
representations and show that many existing schemes can be considered as special cases …

Recent advancement and wide use of high-throughput technologies for biological research
are producing enormous size of biological data distributed worldwide. With the rapid …

In this correspondence, we present a new approach to the design of probabilistic classifiers
that circumvents the dimensionality problem. Rather than working with a common high …

Hardware implementation of a widely used decision tree classifier is presented in this paper.
The classifier task is to perform image-based object classification. The performance …

Abstract In 1989 Wilson and Goldberg presented a critical review of the first ten years of
learning classifier system research. With this paper we review the subsequent ten years of …

One of the main problems in pattern recognition is obtaining the best set of features to
represent the data. In recent years, several feature extraction algorithms have been …

Classifiers can provide counts of items per class, but systematic classification errors yield
biases (eg, if a class is often misclassified as another, its size may be under-estimated). To …