When training hidden-Markov-model-based part-of-speech (PoS) taggers involved in machine translation systems in an unsupervised manner the use of target-language information has proven to give better results than the standard Baum-Welch algorithm. The target-language-driven training algorithm proceeds by translating every possible…

(cont.) which is expected, given their additional knowledge resources. The respondents' urgency in looking for the relevant knowledge is the primary explanation for this difference between the two networks. This difference in knowledge networking among the different groups did not…

This paper descries D-SCRIPT, a language for representing knowledge in artificial intelligence programs. D-SCRIPT contains a powerful formalism for descriptions, which permits the representation of statements that are problematical for other systems. Particular attention is paid to problems of opaque…

This paper deals with the "Calculus of Knowledge", an extension of the propositional calculus in which one may reason about what other people know. Semantic and Syntactic systems are developed, certain theorems are proven, and a formal solution in the…

There has been a lot of research addressing the relationship between Information Technology (IT) investments and productivity. Most of the work has been based on firm-level metrics such as total IT investment. We present what we believe is one of…

The goal of the Programmer's Apprentice project is to develop a theory of how expert programmers analyze, synthesize, modify, explain, specify, verify, and document programs. This research goal overlaps both artificial intelligence and software engineering. From the viewpoint of artificial…

dentification of groups that are similar in their floristic composition and structure (habitat types) is essential for conservation and forest managers to allocate high priority areas and to designate areas for reserves, refuges, and other protected areas. In this study,…

The Artificial Intelligence Laboratory proposes to continue its work on a group of closely interconnected projects, all bearing on questions about how to make computers able to use more sophisticated kinds of knowledge to solve difficult problems. This proposal explains…

M.P. Reddy ... [et al.], Reprint. Reprinted from IEEE transactions on knowledge and data engineering. Vol. 6, no. 6 (Dec. 1994) "December 1994.", Includes bibliographical references (p. 932)., Supported by the Productivity From Information Technology (PROFIT) Research Initiative at MIT.

Neural network applications in microwave engineering have been reported since the 1990s. Description of artificial neural
networks and their key issues, namely architectures, paradigms, training methods, data sets formation, learning and
generalization errors, learning speed, etc., in the context of…