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UAI
1997
15 years 8 months ago
Exploring Parallelism in Learning Belief Networks
It has been shown that a class of probabilistic domain models cannot be learned correctly by several existing algorithms which employ a single-link lookahead search. When a multil...
Tongsheng Chu, Yang Xiang
COLING
1996
15 years 8 months ago
Pattern-Based Machine Translation
Pattern-based machine translation systems can be easily customized by adding new patterns. To gain full profits from this character, input of patterns should be both expressive an...
Koichi Takeda
NAACL
1994
15 years 8 months ago
Statistical Language Processing Using Hidden Understanding Models
This paper introduces a class of statistical mechanisms, called hidden understanding models, for natural language processing. Much of the framework for hidden understanding models...
Scott Miller, Richard M. Schwartz, Robert J. Bobro...
PDPTA
1996
15 years 8 months ago
Document Retrieval Performance on Parallel Systems
The problem of eciently retrieving and ranking documents from a huge collection according to their relevance to a research topic is addressed. A broad class of queries is de ned a...
David Hawking
IJCAI
1989
15 years 7 months ago
A Probabilistic Approach to Marker Propagation
Potentially, the advantages of marker-passing over local connectionist techniques for associa­ tive inference are (1) the ability to differen­ tiate variable bindings, and (2) r...
Dekai Wu