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TSP
2011
230views more  TSP 2011»
13 years 3 months ago
Bayesian Nonparametric Inference of Switching Dynamic Linear Models
—Many complex dynamical phenomena can be effectively modeled by a system that switches among a set of conditionally linear dynamical modes. We consider two such models: the switc...
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...
JMLR
2010
147views more  JMLR 2010»
13 years 3 months ago
Spectral Regularization Algorithms for Learning Large Incomplete Matrices
We use convex relaxation techniques to provide a sequence of regularized low-rank solutions for large-scale matrix completion problems. Using the nuclear norm as a regularizer, we...
Rahul Mazumder, Trevor Hastie, Robert Tibshirani
SIAMNUM
2011
117views more  SIAMNUM 2011»
13 years 2 months ago
Construction and Convergence Study of Schemes Preserving the Elliptic Local Maximum Principle
We present a method to approximate (in any space dimension) diffusion equations with schemes having a specific structure; this structure ensures that the discrete local maximum a...
Jérôme Droniou, Christophe Le Potier
ICASSP
2011
IEEE
13 years 5 days ago
Scalable robust hypothesis tests using graphical models
Traditional binary hypothesis testing relies on the precise knowledge of the probability density of an observed random vector conditioned on each hypothesis. However, for many app...
Divyanshu Vats, Vishal Monga, Umamahesh Srinivas, ...
NLDB
2011
Springer
12 years 11 months ago
Querying Linked Data Using Semantic Relatedness: A Vocabulary Independent Approach
Abstract. Linked Data brings the promise of incorporating a new dimension to the Web where the availability of Web-scale data can determine a paradigmatic transformation of the Web...
André Freitas, João Gabriel Oliveira...