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FTML
2008
185views more  FTML 2008»
13 years 7 months ago
Graphical Models, Exponential Families, and Variational Inference
The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate stat...
Martin J. Wainwright, Michael I. Jordan
ICASSP
2010
IEEE
13 years 7 months ago
Sparsity-cognizant overlapping co-clustering for behavior inference in social networks
Co-clustering can be viewed as a two-way (bilinear) factorization of a large data matrix into dense/uniform and possibly overlapping submatrix factors (co-clusters). This combinat...
Hao Zhu, Gonzalo Mateos, Georgios B. Giannakis, Ni...
EMNLP
2010
13 years 5 months ago
On Dual Decomposition and Linear Programming Relaxations for Natural Language Processing
This paper introduces dual decomposition as a framework for deriving inference algorithms for NLP problems. The approach relies on standard dynamic-programming algorithms as oracl...
Alexander M. Rush, David Sontag, Michael Collins, ...
WSC
2008
13 years 10 months ago
Applying causal inference to understand emergent behavior
Emergent behaviors in simulations require explanation, so that valid behaviors can be separated from design or coding errors. Validation of emergent behavior requires accumulation...
Ross Gore, Paul F. Reynolds Jr.
WSC
2008
13 years 10 months ago
New approaches for inference of unobservable queues
Many inference methods of queueing systems have been developed on the basis of Larson's QIE(queue inference engine) with the assumption of homogeneous Poisson arrivals. It in...
Yun Bae Kim, Jinsoo Park