Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
We have developed a method for answering single answer questions automatically using a collection of documents or the Internet as a source of data for the production of the answer...
James R. Cowie, Yevgeny Ludovik, Hugo Molina-Salga...
This tutorial article addresses the use of simulation in the hospitality industry, in particular the use of simulation in the fast food restaurant industry. Although the applicati...
This paper describes the spatial aggregation language and its applications. Spatial aggregation comprises a framework and a mechanism for organizing computations around image-like...
Christopher Bailey-Kellogg, Feng Zhao, Kenneth Yip
: This paper describes a full two-level morphological description 5,9 of Turkish word structures. The description has been implemented using the PC-KIMMO environment 2 and is based...