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ICANN
2010
Springer
13 years 8 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
GLOBECOM
2008
IEEE
13 years 8 months ago
Blooming Trees for Minimal Perfect Hashing
Abstract—Hash tables are used in many networking applications, such as lookup and packet classification. But the issue of collisions resolution makes their use slow and not suit...
Gianni Antichi, Domenico Ficara, Stefano Giordano,...
CORR
2010
Springer
96views Education» more  CORR 2010»
13 years 7 months ago
LSMR: An iterative algorithm for sparse least-squares problems
Abstract. An iterative method LSMR is presented for solving linear systems Ax = b and leastsquares problem min Ax - b 2, with A being sparse or a fast linear operator. LSMR is base...
David Fong, Michael Saunders
CORR
2010
Springer
180views Education» more  CORR 2010»
13 years 7 months ago
Sawja: Static Analysis Workshop for Java
Abstract. Static analysis is a powerful technique for automatic verification of programs but raises major engineering challenges when developing a full-fledged analyzer for a reali...
Laurent Hubert, Nicolas Barré, Fréd&...
CORR
2010
Springer
84views Education» more  CORR 2010»
13 years 7 months ago
Outage Probability for Multi-Cell Processing under Rayleigh Fading
Abstract--Multi-cell processing, also called Coordinated Multiple Point (CoMP), is a very promising distributed multi-antennas technique that uses neighbour cell's antennas. T...
Virgile Garcia, Jean-Marie Gorce, Nikolai Lebedev