Kernel methods provide an efficient mechanism to derive nonlinear algorithms. In classification problems as well as in feature extraction, kernel-based approaches map the original...
We investigate three issues in distributed information retrieval, considering both TREC data and U.S. Patents: (1) topical organization of large text collections, (2) collection r...
Leah S. Larkey, Margaret E. Connell, James P. Call...
At present there are two common types of integrated circuit inductor simulation tools. The first type is based on the Greenhouse methods[1], and obtains a solution in a fraction o...
N. R. Belk, M. R. Frei, M. Tsai, A. J. Becker, K. ...
We propose a new probabilistic approach to information retrieval based upon the ideas and methods of statistical machine translation. The central ingredient in this approach is a ...
The main objective of the IBM Grand Central Station (GCS) is to gather information of virtually any type of formats (text, data, image, graphics, audio, video) from the cyberspace...