Els instruments científics dels instituts d'ensenyament mitjà: un extraordinari patrimoni cultural que hem de preservar i estudiar

Several important collections of scientific instruments are preserved in secondary schools but just a small group have been properly catalogued and studied. Unfortunately, they are not commonly regarded as a relevant part of the cultural heritage. However, recent trends in history of science offer new perspectives to study these objects from new points of view. We review some recent studies about collections of scientific instruments in secondary schools and we offer preliminary conclusions of our current work on this topic.

Improving classification using a Confidence Matrix based on weak classifiers applied to OCR

This paper proposes a new feature representation method based on the construction of a Confidence Matrix (CM). This representation consists of posterior probability values provided by several weak classifiers, each one trained and used in different sets of features from the original sample. The CM allows the final classifier to abstract itself from discovering underlying groups of features. In this work the CM is applied to isolated character image recognition, for which several set of features can be extracted from each sample. Experimentation has shown that the use of CM permits a significant improvement in accuracy in most cases, while the others remain the same. The results were obtained after experimenting with four well-known corpora, using evolved meta-classifiers with the k-Nearest Neighbor rule as a weak classifier and by applying statistical significance tests.