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ICCS
2001
Springer
15 years 4 months ago
Statistical Models for Automatic Performance Tuning
Achieving peak performance from library subroutines usually requires extensive, machine-dependent tuning by hand. Automatic tuning systems have emerged in response, and they typic...
Rich Vuduc, James Demmel, Jeff Bilmes
EMNLP
2008
15 years 1 months ago
Lattice-based Minimum Error Rate Training for Statistical Machine Translation
Minimum Error Rate Training (MERT) is an effective means to estimate the feature function weights of a linear model such that an automated evaluation criterion for measuring syste...
Wolfgang Macherey, Franz Josef Och, Ignacio Thayer...
CORR
2008
Springer
100views Education» more  CORR 2008»
14 years 11 months ago
Statistical region-based active contours with exponential family observations
In this paper, we focus on statistical region-based active contour models where image features (e.g. intensity) are random variables whose distribution belongs to some parametric ...
François Lecellier, Stéphanie Jehan-...
CORR
2007
Springer
140views Education» more  CORR 2007»
14 years 11 months ago
From the entropy to the statistical structure of spike trains
— We use statistical estimates of the entropy rate of spike train data in order to make inferences about the underlying structure of the spike train itself. We first examine a n...
Yun Gao, Ioannis Kontoyiannis, Elie Bienenstock
JMLR
2006
125views more  JMLR 2006»
14 years 11 months ago
Spam Filtering Using Statistical Data Compression Models
Spam filtering poses a special problem in text categorization, of which the defining characteristic is that filters face an active adversary, which constantly attempts to evade fi...
Andrej Bratko, Gordon V. Cormack, Bogdan Filipic, ...