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NIPS
2008
13 years 10 months ago
Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation
Hierarchical probabilistic modeling of discrete data has emerged as a powerful tool for text analysis. Posterior inference in such models is intractable, and practitioners rely on...
Indraneel Mukherjee, David M. Blei
CORR
2010
Springer
94views Education» more  CORR 2010»
13 years 8 months ago
Real-Time Multi-path Tracking of Probabilistic Available Bandwidth
Applications such as traffic engineering and network provisioning can greatly benefit from knowing, in real time, what is the largest input rate at which it is possible to transmit...
Frederic Thouin, Mark Coates, Michael Rabbat
JMLR
2006
103views more  JMLR 2006»
13 years 8 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
JIRS
2007
229views more  JIRS 2007»
13 years 8 months ago
Unmanned Vehicle Controller Design, Evaluation and Implementation: From MATLAB to Printed Circuit Board
A detailed step-by-step approach is presented to optimize, standardize, and automate the process of unmanned vehicle controller design, evaluation, validation and verification, fol...
Daniel Ernst, Kimon P. Valavanis, Richard Garcia, ...
TSMC
2008
119views more  TSMC 2008»
13 years 8 months ago
An Efficient Binary-Decision-Diagram-Based Approach for Network Reliability and Sensitivity Analysis
Abstract--Reliability and sensitivity analysis is a key component in the design, tuning, and maintenance of network systems. Tremendous research efforts have been expended in this ...
Liudong Xing