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NIPS
2008
15 years 5 months ago
Asynchronous Distributed Learning of Topic Models
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
Arthur Asuncion, Padhraic Smyth, Max Welling
CASCON
1996
114views Education» more  CASCON 1996»
15 years 5 months ago
Modeling on-line rebalancing with priorities and executing on parallel database systems
Because changes to the database (DB) and workload occur during a DB system's lifetime, the physical DB design must evolve to sustain good performance. These changes are carri...
Daniel C. Zilio
CONCURRENCY
2010
110views more  CONCURRENCY 2010»
15 years 4 months ago
Redesigning the message logging model for high performance
Over the past decade the number of processors in the high performance facilities went up to hundreds of thousands. As a direct consequence, while the computational power follow th...
Aurelien Bouteiller, George Bosilca, Jack Dongarra
CORR
2007
Springer
128views Education» more  CORR 2007»
15 years 4 months ago
Model Selection Through Sparse Maximum Likelihood Estimation
We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting undirected graphical model is sparse. Our approach is to...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
TISSEC
2008
106views more  TISSEC 2008»
15 years 4 months ago
On predictive models and user-drawn graphical passwords
In commonplace text-based password schemes, users typically choose passwords that are easy to recall, exhibit patterns, and are thus vulnerable to brute-force dictionary attacks. ...
Paul C. van Oorschot, Julie Thorpe