This paper presents a text/graphic labelling for ancient printed documents. Our approach is based on the extraction and the quantification of the various orientations that are pre...
In this paper, we describe Common Sense Investing (CSI), an interactive investment tool that uses a knowledge base of common sense statements in conjunction with domain knowledge ...
Ashwani Kumar, Sharad C. Sundararajan, Henry Liebe...
Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...