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ACL
1994
13 years 6 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
IEEEMM
2002
134views more  IEEEMM 2002»
13 years 5 months ago
A Middleware Architecture for Open and Interoperable GISs
an abstract model for information sharing and integration and use it to develop an architecture for building open, component-based, interoperable systems. A geographic information ...
Steven H. Wong, Steven L. Swartz, Dilip Sarkar
STOC
2005
ACM
147views Algorithms» more  STOC 2005»
14 years 5 months ago
Simulating independence: new constructions of condensers, ramsey graphs, dispersers, and extractors
We present new explicit constructions of deterministic randomness extractors, dispersers and related objects. We say that a distribution X on binary strings of length n is a -sour...
Boaz Barak, Guy Kindler, Ronen Shaltiel, Benny Sud...
BMCBI
2006
110views more  BMCBI 2006»
13 years 5 months ago
CpGcluster: a distance-based algorithm for CpG-island detection
Background: Despite their involvement in the regulation of gene expression and their importance as genomic markers for promoter prediction, no objective standard exists for defini...
Michael Hackenberg, Christopher Previti, Pedro Lui...