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ICML
2007
IEEE
16 years 5 months ago
An empirical evaluation of deep architectures on problems with many factors of variation
Recently, several learning algorithms relying on models with deep architectures have been proposed. Though they have demonstrated impressive performance, to date, they have only b...
Hugo Larochelle, Dumitru Erhan, Aaron C. Courville...
145
Voted
UAI
2004
15 years 6 months ago
Bayesian Biosurveillance of Disease Outbreaks
Early, reliable detection of disease outbreaks is a critical problem today. This paper reports an investigation of the use of causal Bayesian networks to model spatio-temporal pat...
Gregory F. Cooper, Denver Dash, John Levander, Wen...
TON
2010
122views more  TON 2010»
15 years 3 months ago
The (in)completeness of the observed internet AS-level structure
— Despite significant efforts to obtain an accurate picture of the Internet’s connectivity structure at the level of individual autonomous systems (ASes), much has remained un...
Ricardo V. Oliveira, Dan Pei, Walter Willinger, Be...
JUCS
2006
93views more  JUCS 2006»
15 years 4 months ago
Synthesis of Optimal Workflow Structure
: Optimal synthesis of workflow structures, the formerly undefined problem, has been introduced. Mathematical programming model is presented for determining the cost optimal workfl...
József Tick, Zoltán Kovacs, Ferenc F...
IPSN
2004
Springer
15 years 10 months ago
Nonparametric belief propagation for self-calibration in sensor networks
Automatic self-calibration of ad-hoc sensor networks is a critical need for their use in military or civilian applications. In general, self-calibration involves the combination o...
Alexander T. Ihler, John W. Fisher III, Randolph L...