This paper describes a framework for the automatic evaluation and deployment of pattern recognizers. We identify several classes of user and usage patterns of the system, and desc...
Abstract. The present paper presents a new approach of how to convert Gold-style [4] learning in the limit into stochastically finite learning with high confidence. We illustrate t...
The objective in any pattern recognition problem is to capture the characteristics common to each class from feature vectors of the training data. While Gaussian mixture models ap...
Discriminants are often used in pattern recognition to separate clusters of points in some multidimensional "feature" space. This paper provides two fast and simple techn...
This paper describes a criterion for qualitative analysis of open Chemical Reaction Networks endowed with mass-action kinetics. The method can be applied to an extremely broad clas...