We present an information theoretic approach for learning a linear dimension reduction transform for object classification. The theoretic guidance of the approach is that the trans...
Abstract. We provide a formal definition of information flows in XML transformations and, more generally, in the presence of type driven computations and describe a sound technique...
Naive Bayes classifier is a frequently used method in various natural language processing tasks. Inspired by a modified version of the method called the flexible Bayes classifier, ...
Tapio Pahikkala, Jorma Boberg, Aleksandr Myllä...
Abstract. This paper proposes a framework for transforming and integrating heterogeneous XML data sources, making use of known correspondences from them to ontologies expressed in ...
We present feature transformations useful for exploratory data analysis or for pattern recognition. Transformations are learned from example data sets by maximizing the mutual inf...