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ICANN
2010
Springer
13 years 9 months ago
Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
Asja Fischer, Christian Igel
ICASSP
2010
IEEE
13 years 8 months ago
Power law discounting for n-gram language models
We present an approximation to the Bayesian hierarchical PitmanYor process language model which maintains the power law distribution over word tokens, while not requiring a comput...
Songfang Huang, Steve Renals
ICASSP
2010
IEEE
13 years 8 months ago
On linear versus non-linear magnitude-DFT estimators and the influence of super-Gaussian speech priors
Although the linear mean-squared error (MSE) complex-DFT estimator, i.e., the Wiener filter, is well-known, its magnitude-DFT (MDFT) counterpart has never been considered in the ...
Richard C. Hendriks, Richard Heusdens
GLOBECOM
2007
IEEE
13 years 8 months ago
Cooperative Beamforming for Wireless Ad Hoc Networks
—Via collaborative beamforming, nodes in a wireless network are able to transmit a common message over long distances in an energy efficient fashion. However, the process of mak...
Lun Dong, Athina P. Petropulu, H. Vincent Poor
APIN
2008
108views more  APIN 2008»
13 years 8 months ago
Achieving self-healing in service delivery software systems by means of case-based reasoning
Abstract Self-healing, i.e. the capability of a system to autonomously detect failures and recover from them, is a very attractive property that may enable large-scale software sys...
Stefania Montani, Cosimo Anglano