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CORR
2010
Springer
228views Education» more  CORR 2010»
15 years 2 months ago
Sparse Inverse Covariance Selection via Alternating Linearization Methods
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
Katya Scheinberg, Shiqian Ma, Donald Goldfarb
140
Voted
UAI
2001
15 years 4 months ago
Toward General Analysis of Recursive Probability Models
There is increasing interest within the research community in the design and use of recursive probability models. There remains concern about computational complexity costs and th...
Daniel Pless, George F. Luger
153
Voted
CGO
2009
IEEE
15 years 10 months ago
Software Pipelined Execution of Stream Programs on GPUs
—The StreamIt programming model has been proposed to exploit parallelism in streaming applications on general purpose multicore architectures. This model allows programmers to sp...
Abhishek Udupa, R. Govindarajan, Matthew J. Thazhu...
MODELS
2009
Springer
15 years 10 months ago
Towards systematic ensuring well-formedness of software product lines
Variability modelling with feature models is one key technique for specifying the problem space of software product lines (SPLs). To allow for the automatic derivation of a concre...
Florian Heidenreich
CORR
2007
Springer
130views Education» more  CORR 2007»
15 years 3 months ago
Lagrangian Relaxation for MAP Estimation in Graphical Models
Abstract— We develop a general framework for MAP estimation in discrete and Gaussian graphical models using Lagrangian relaxation techniques. The key idea is to reformulate an in...
Jason K. Johnson, Dmitry M. Malioutov, Alan S. Wil...