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ICANN
2010
Springer
13 years 10 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
CCS
2010
ACM
13 years 9 months ago
The security of modern password expiration: an algorithmic framework and empirical analysis
This paper presents the first large-scale study of the success of password expiration in meeting its intended purpose, namely revoking access to an account by an attacker who has ...
Yinqian Zhang, Fabian Monrose, Michael K. Reiter
SIAMCO
2000
71views more  SIAMCO 2000»
13 years 9 months ago
On a Perturbation Approach for the Analysis of Stochastic Tracking Algorithms
In this paper, a perturbation expansion technique is introduced to decompose the tracking error of a general adaptive tracking algorithm in a linear regression model. This method ...
Rafik Aguech, Eric Moulines, Pierre Priouret
MOBIDE
2005
ACM
14 years 2 months ago
Recovery of mobile internet transactions: algorithm, implementation and analysis
The increasing popularity of mobile devices and the support of web portals towards performing transactions from these mobile devices has enabled business on the move. However, int...
Shashi Anand, Krithi Ramamritham
ICIP
2002
IEEE
14 years 10 months ago
A reversible jump Markov chain Monte Carlo algorithm for analysis of functional neuroimages
Ana S. Lukic, Miles N. Wernick, Nikolas P. Galatsa...