In the recent years, CSP's have come to be seen as the core problem in many applications. We propose here a hybrid algorithm (MC-FC) that combines two different search method...
: Technologies of identification by radio frequencies (RFID) experience a fast development and healthcare is predicted to be one of its major growth areas. After briefly introducin...
Accurate demand forecasting remains difficult and challenging in today's competitive and dynamic business environment, but even a little improvement in demand prediction may ...
In this paper, a new language model, the Multi-Class Composite N-gram, is proposed to avoid a data sparseness problem for spoken language in that it is difficult to collect traini...
In nearest neighbor searching we are given a set of n data points in real d-dimensional space, d , and the problem is to preprocess these points into a data structure, so that give...