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» Learning Mixtures of Gaussians
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ICML
2009
IEEE
16 years 7 months ago
Non-linear matrix factorization with Gaussian processes
Neil D. Lawrence, Raquel Urtasun
CSDA
2011
15 years 1 months ago
Approximate forward-backward algorithm for a switching linear Gaussian model
Motivated by the application of seismic inversion in the petroleum industry we consider a hidden Markov model with two hidden layers. The bottom layer is a Markov chain and given ...
Hugo Hammer, Håkon Tjelmeland
COCO
2010
Springer
149views Algorithms» more  COCO 2010»
15 years 9 months ago
The Gaussian Surface Area and Noise Sensitivity of Degree-d Polynomial Threshold Functions
Abstract. We prove asymptotically optimal bounds on the Gaussian noise sensitivity of degree-d polynomial threshold functions. These bounds translate into optimal bounds on the Gau...
Daniel M. Kane
ICANN
2007
Springer
16 years 15 days ago
Some Properties of the Gaussian Kernel for One Class Learning
This paper proposes a novel approach for directly tuning the gaussian kernel matrix for one class learning. The popular gaussian kernel includes a free parameter, σ, that requires...
Paul F. Evangelista, Mark J. Embrechts, Boleslaw K...
GLOBECOM
2007
IEEE
16 years 21 days ago
Asymptotic BEP and SEP of Differential EGC in Correlated Ricean Fading and Non-Gaussian Noise
— In this paper, we study the asymptotic behavior of the bit–error probability (BEP) and symbol–error probability (SEP) of differential M–ary phase–shift keying with diff...
Ali Nezampour, Amir Nasri, Robert Schober, Yao Ma