This paper is devoted to the analysis of network approximation in the framework of approximation and regularization theory. It is shown that training neural networks and similar n...
Abstract. In this paper, we present an approach for classifying documents based on the notion of a semantic similarity and the effective representation of the content of the docume...
The nearest- or near-neighbor query problems arise in a large variety of database applications, usually in the context of similarity searching. Of late, there has been increasing ...
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
Abstract. Planning the ongoing care of Alzheimer's Disease (AD) patients is a complex task, marked by cases that change over time, multiple perspectives, and ethical issues. G...