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ICASSP
2010
IEEE
15 years 4 months ago
Learning in Gaussian Markov random fields
This paper addresses the problem of state estimation in the case where the prior distribution of the states is not perfectly known but instead is parameterized by some unknown par...
Thomas J. Riedl, Andrew C. Singer, Jun Won Choi
CORR
2011
Springer
165views Education» more  CORR 2011»
15 years 1 months ago
Causal Dependence Tree Approximations of Joint Distributions for Multiple Random Processes
—We investigate approximating joint distributions of random processes with causal dependence tree distributions. Such distributions are particularly useful in providing parsimoni...
Christopher J. Quinn, Todd P. Coleman, Negar Kiyav...
COLING
2010
15 years 1 months ago
FactRank: Random Walks on a Web of Facts
Fact collections are mostly built using semi-supervised relation extraction techniques and wisdom of the crowds methods, rendering them inherently noisy. In this paper, we propose...
Alpa Jain, Patrick Pantel
CORR
2012
Springer
171views Education» more  CORR 2012»
14 years 2 months ago
Random Feature Maps for Dot Product Kernels
Approximating non-linear kernels using feature maps has gained a lot of interest in recent years due to applications in reducing training and testing times of SVM classifiers and...
Purushottam Kar, Harish Karnick
WCE
2007
15 years 7 months ago
On the Non-Gaussian Nature of Random Vehicle Vibrations
—This paper presents one of the outcomes of a research project concerned with the development of a method for synthesizing, under controlled conditions in the laboratory, the ran...
Vincent Rouillard