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COLING
2010
14 years 9 months ago
Unsupervised cleansing of noisy text
In this paper we look at the problem of cleansing noisy text using a statistical machine translation model. Noisy text is produced in informal communications such as Short Message...
Danish Contractor, Tanveer A. Faruquie, L. Venkata...
191
Voted

Book
778views
17 years 11 days ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
157
Voted
SIGMETRICS
1996
ACM
174views Hardware» more  SIGMETRICS 1996»
15 years 6 months ago
Embra: Fast and Flexible Machine Simulation
This paper describes Embra, a simulator for the processors, caches, and memory systems of uniprocessors and cache-coherent multiprocessors. When running as part of the SimOS simul...
Emmett Witchel, Mendel Rosenblum
125
Voted
ACL
2006
15 years 3 months ago
Re-Usable Tools for Precision Machine Translation
The LOGON MT demonstrator assembles independently valuable general-purpose NLP components into a machine translation pipeline that capitalizes on output quality. The demonstrator ...
Jan Tore Lønning, Stephan Oepen
146
Voted
IJCNN
2007
IEEE
15 years 8 months ago
Generalised Kernel Machines
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. T...