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ACL
1994
13 years 8 months ago
A Markov Language Learning Model for Finite Parameter Spaces
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Partha Niyogi, Robert C. Berwick
TIME
2006
IEEE
14 years 1 months ago
How Would You Like to Aggregate Your Temporal Data?
Published in: Proceedings of the 13th International Symposium on Temporal Representation and Reasoning (TIME-06), Budapest, Hungary, June 2006. IEEE Computer Society Press. Real-w...
Michael H. Böhlen, Johann Gamper, Christian S...
BLISS
2007
IEEE
14 years 1 months ago
Evolving the Face of a Criminal: How to Search a Face Space More Effectively
Witnesses and victims of serious crime are often required to construct a facial composite, a visual likeness of a suspect’s face. The traditional method is for them to select in...
Charlie D. Frowd, Vicki Bruce, Carol Gannon, Mark ...
WWW
2007
ACM
14 years 8 months ago
Effort estimation: how valuable is it for a web company to use a cross-company data set, compared to using its own single-compan
Previous studies comparing the prediction accuracy of effort models built using Web cross- and single-company data sets have been inconclusive, and as such replicated studies are ...
Emilia Mendes, Sergio Di Martino, Filomena Ferrucc...
HYBRID
2004
Springer
14 years 27 days ago
Almost ASAP Semantics: From Timed Models to Timed Implementations
In this paper, we introduce a parametric semantics for timed controllers called the Almost ASAP semantics. This semantics is a relaxation of the usual ASAP3 semantics (also called ...
Martin De Wulf, Laurent Doyen, Jean-Françoi...