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JMLR
2006
103views more  JMLR 2006»
14 years 9 months ago
On Model Selection Consistency of Lasso
Sparsity or parsimony of statistical models is crucial for their proper interpretations, as in sciences and social sciences. Model selection is a commonly used method to find such...
Peng Zhao, Bin Yu
ISIPTA
2003
IEEE
145views Mathematics» more  ISIPTA 2003»
15 years 3 months ago
An Extended Set-valued Kalman Filter
Set-valued estimation offers a way to account for imprecise knowledge of the prior distribution of a Bayesian statistical inference problem. The set-valued Kalman filter, which p...
Darryl Morrell, Wynn C. Stirling
ICML
2008
IEEE
15 years 10 months ago
An asymptotic analysis of generative, discriminative, and pseudolikelihood estimators
Statistical and computational concerns have motivated parameter estimators based on various forms of likelihood, e.g., joint, conditional, and pseudolikelihood. In this paper, we ...
Percy Liang, Michael I. Jordan
FGR
1996
IEEE
111views Biometrics» more  FGR 1996»
15 years 1 months ago
Pfinder: real-time tracking of the human body
Pfinder is a real-time system for tracking people and interpreting their behavior. It runs at 10Hz on a standard SGI Indy computer, and has performed reliably on thousands of peopl...
Christopher Richard Wren, Ali Azarbayejani, Trevor...
ACL
2012
13 years 3 days ago
A Probabilistic Model for Canonicalizing Named Entity Mentions
We present a statistical model for canonicalizing named entity mentions into a table whose rows represent entities and whose columns are attributes (or parts of attributes). The m...
Dani Yogatama, Yanchuan Sim, Noah A. Smith