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CORR
2011
Springer
167views Education» more  CORR 2011»
13 years 2 months ago
Fast global convergence of gradient methods for high-dimensional statistical recovery
Many statistical M-estimators are based on convex optimization problems formed by the weighted sum of a loss function with a norm-based regularizer. We analyze the convergence rat...
Alekh Agarwal, Sahand Negahban, Martin J. Wainwrig...
BMCBI
2011
13 years 2 months ago
Statistical learning techniques applied to epidemiology: a simulated case-control comparison study with logistic regression
Background: When investigating covariate interactions and group associations with standard regression analyses, the relationship between the response variable and exposure may be ...
John J. Heine, Walker H. Land Jr., Kathleen M. Ega...
CICLING
2009
Springer
14 years 8 months ago
Exploiting Parallel Treebanks to Improve Phrase-Based Statistical Machine Translation
We use existing tools to automatically build two parallel treebanks from existing parallel corpora. We then show that combining the data extracted from both the treebanks and the ...
John Tinsley, Mary Hearne, Andy Way
ICASSP
2009
IEEE
14 years 2 months ago
Optimizing segment label boundaries for statistical speech synthesis
This paper introduces a new optimization technique for moving segment labels (phone and subphonetic) to optimize statistical parametric speech synthesis models. The choice of obje...
Alan W. Black, John Kominek
COLT
2001
Springer
14 years 13 days ago
On Using Extended Statistical Queries to Avoid Membership Queries
The Kushilevitz-Mansour (KM) algorithm is an algorithm that finds all the “large” Fourier coefficients of a Boolean function. It is the main tool for learning decision trees ...
Nader H. Bshouty, Vitaly Feldman