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ACL
1994
15 years 1 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
15 years 5 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
15 years 6 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
16 years 10 days 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
15 years 5 months 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...