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TIT
1998
126views more  TIT 1998»
13 years 5 months ago
An Asymptotic Property of Model Selection Criteria
—Probability models are estimated by use of penalized log-likelihood criteria related to AIC and MDL. The accuracies of the density estimators are shown to be related to the trad...
Yuhong Yang, Andrew R. Barron
SIAMJO
2008
72views more  SIAMJO 2008»
13 years 6 months ago
A Sample Approximation Approach for Optimization with Probabilistic Constraints
We study approximations of optimization problems with probabilistic constraints in which the original distribution of the underlying random vector is replaced with an empirical dis...
James Luedtke, Shabbir Ahmed
CIKM
2009
Springer
14 years 24 days ago
Reducing the risk of query expansion via robust constrained optimization
We introduce a new theoretical derivation, evaluation methods, and extensive empirical analysis for an automatic query expansion framework in which model estimation is cast as a r...
Kevyn Collins-Thompson
ISF
2006
118views more  ISF 2006»
13 years 6 months ago
Does information security attack frequency increase with vulnerability disclosure? An empirical analysis
Abstract Research in information security, risk management and investment has grown in importance over the last few years. However, without reliable estimates on attack probabiliti...
Ashish Arora, Anand Nandkumar, Rahul Telang
KDD
2006
ACM
163views Data Mining» more  KDD 2006»
14 years 6 months ago
New EM derived from Kullback-Leibler divergence
We introduce a new EM framework in which it is possible not only to optimize the model parameters but also the number of model components. A key feature of our approach is that we...
Longin Jan Latecki, Marc Sobel, Rolf Lakämper