An increasing number of organizations are involved in the development of strategic
information systems for effective linkages with their suppliers, customers, and other
channel partners involved in transportation, distribution, warehousing and maintenance
activities. An efficient inter-organizational inventory…

This study offers a detailed case study of how Toyota facilitates interorganizational knowledge transfers among within its production network. In particular, we identiify and examine six key institutionalized knowledge sharing routines developed by Toyota and its suppliers. By examining how…

In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowledge from an annotated corpus and this knowledge is represented in the form of…

by Jose Maria Gonzalez Pinto., Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2002., Includes bibliographical references (p. 68-69).

After considering the various dimensions of innovation policy, this paper reviews the experiences of the Czech Republic (CR) in implementing such policies in the post-1990 transition period. Particular attention is paid to the contribution of small and medium-sized enterprises (SMEs)…

How can we construct a program that will understand stories that children would understand? By understand we mean the ability to answer questions about the story. We are interested here with understanding natural language in a very broad area. In…

Nivel monográfico, Mérida, del 30 al 31 de Mayo de 2002

The consumer knowledge, attitudes and behaviour of a probability sample of English public CEGEP (Grades XII and XIII) students in the province of Quebec are investigated to provide a basis for the development of consumer education curricula. Results indicate that…

Nivel monográfico, Mérida, Jueves 20 de Junio de 2002

Most neural network learning algorithms cannot use knowledge other than what is provided in the training data. Initialized using random weights, they cannot use prior knowledge such as knowledge stored in previously trained networks. This manuscript thesis addresses this problem.…