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» Modeling word burstiness using the Dirichlet distribution
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ICDAR
2007
IEEE
16 years 12 days ago
Context-Sensitive Error Correction: Using Topic Models to Improve OCR
Modern optical character recognition software relies on human interaction to correct misrecognized characters. Even though the software often reliably identifies low-confidence ...
Michael L. Wick, Michael G. Ross, Erik G. Learned-...
FOCS
1990
IEEE
15 years 10 months ago
Separating Distribution-Free and Mistake-Bound Learning Models over the Boolean Domain
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
Avrim Blum
CPHYSICS
2008
96views more  CPHYSICS 2008»
15 years 6 months ago
Moment distributions of clusters and molecules in the adiabatic rotor model
We present a Fortran program to compute the distribution of dipole moments of free particles for use in analyzing molecular beams experiments that measure moments by deflection in...
G. E. Ballentine, G. F. Bertsch, N. Onishi, K. Yab...
CN
2006
70views more  CN 2006»
15 years 6 months ago
Distribution of path durations in mobile ad-hoc networks - Palm's Theorem to the rescue
We first study the distribution of path duration in multi-hop wireless networks. We show that as the number of hops along a path increases, the path duration distribution can be a...
Yijie Han, Richard J. La, Armand M. Makowski, Seun...
ACL
2003
15 years 7 months ago
Parametric Models of Linguistic Count Data
It is well known that occurrence counts of words in documents are often modeled poorly by standard distributions like the binomial or Poisson. Observed counts vary more than simpl...
Martin Jansche