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NIPS
2004
13 years 10 months ago
Learning Gaussian Process Kernels via Hierarchical Bayes
We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are l...
Anton Schwaighofer, Volker Tresp, Kai Yu
ICASSP
2010
IEEE
13 years 9 months ago
Estimation of a white Gaussian noise in the Short Time Fourier Transform based on the spectral kurtosis of the minimal statistic
In this paper we present a noise level estimator using minimal values of the Short Time Fourier Transform of a signal embedded in a white Gaussian noise. The spectral kurtosis of ...
Fabien Millioz, Nadine Martin
CORR
2010
Springer
134views Education» more  CORR 2010»
13 years 9 months ago
Large Margin Multiclass Gaussian Classification with Differential Privacy
As increasing amounts of sensitive personal information is aggregated into data repositories, it has become important to develop mechanisms for processing the data without revealin...
Manas A. Pathak, Bhiksha Raj
DM
2006
59views more  DM 2006»
13 years 9 months ago
Factors of the Gaussian coefficients
Abstract. We present some simple observations on factors of the qbinomial coefficients, the q-Catalan numbers, and the q-multinomial coefficients. Writing the Gaussian coefficient ...
William Y. C. Chen, Qing-Hu Hou
IJAHUC
2008
83views more  IJAHUC 2008»
13 years 8 months ago
Connectivity of a Gaussian network
: Following Etherington, Hoge and Parkes, we consider a network consisting of (approximately) N transceivers in the plane R2 distributed randomly with density given by a Gaussian d...
Paul N. Balister, Béla Bollobás, Ami...