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» Estimation of Chaotic Probabilities
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NAACL
2003
15 years 5 months ago
Inducing History Representations for Broad Coverage Statistical Parsing
We present a neural network method for inducing representations of parse histories and using these history representations to estimate the probabilities needed by a statistical le...
James Henderson
ICML
2010
IEEE
15 years 5 months ago
On Sparse Nonparametric Conditional Covariance Selection
We develop a penalized kernel smoothing method for the problem of selecting nonzero elements of the conditional precision matrix, known as conditional covariance selection. This p...
Mladen Kolar, Ankur P. Parikh, Eric P. Xing
ICASSP
2010
IEEE
15 years 4 months ago
Rapid integration of Parts of Speech information to improve reordering model for English-Farsi Speech to Speech Translation
Integrating Parts of Speech (POS) information to Machine Translation (MT) model usually amounts to significant changes in the MT decoder. We present a method to rapidly integrate...
Sameer Maskey, Bowen Zhou
TIT
2002
62views more  TIT 2002»
15 years 3 months ago
Maximum-likelihood binary shift-register synthesis from noisy observations
We consider the problem of estimating the feedback coefficients of a linear feedback shift register (LFSR) based on noisy observations. In the current approach, the coefficients a...
Todd K. Moon
ML
2007
ACM
113views Machine Learning» more  ML 2007»
15 years 3 months ago
PAV and the ROC convex hull
Classifier calibration is the process of converting classifier scores into reliable probability estimates. Recently, a calibration technique based on isotonic regression has gain...
Tom Fawcett, Alexandru Niculescu-Mizil