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MA
2010
Springer
94views Communications» more  MA 2010»
15 years 3 months ago
On sparse estimation for semiparametric linear transformation models
: Semiparametric linear transformation models have received much attention due to its high flexibility in modeling survival data. A useful estimating equation procedure was recent...
Hao Helen Zhang, Wenbin Lu, Hansheng Wang
ICML
2009
IEEE
16 years 6 months ago
The Bayesian group-Lasso for analyzing contingency tables
Group-Lasso estimators, useful in many applications, suffer from lack of meaningful variance estimates for regression coefficients. To overcome such problems, we propose a full Ba...
Sudhir Raman, Thomas J. Fuchs, Peter J. Wild, Edga...
NCA
2005
IEEE
15 years 11 months ago
A Probabilistic Approach for Achieving Fair Bandwidth Allocations in CSFQ
The fair bandwidth allocations can isolate flows and protect well-behaved flows from ill-behaved ones. CSFQ (Core Stateless Fair Queueing) achieves the approximate fairness by d...
Peng Wang, David L. Mills
PAMI
2006
114views more  PAMI 2006»
15 years 5 months ago
Nonparametric Supervised Learning by Linear Interpolation with Maximum Entropy
Nonparametric neighborhood methods for learning entail estimation of class conditional probabilities based on relative frequencies of samples that are "near-neighbors" of...
Maya R. Gupta, Robert M. Gray, Richard A. Olshen
ICC
2009
IEEE
135views Communications» more  ICC 2009»
16 years 1 days ago
Block Detection of Multiple Symbol DPSK in a Statistically Unknown Time-Varying Channel
—We present a detection scheme for multiple-symbol DPSK for use in a statistically unknown time-varying channel. The scheme relies on a parametric representation of the timevaryi...
Nathan Ricklin, James R. Zeidler