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NIPS
2003
15 years 8 months ago
Wormholes Improve Contrastive Divergence
In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...
Geoffrey E. Hinton, Max Welling, Andriy Mnih
CN
2006
81views more  CN 2006»
15 years 6 months ago
On the universality of rank distributions of website popularity
We present an extensive analysis of long-term statistics of the queries to websites using logs collected on several web caches in Russian academic networks and on US IRCache cache...
Serge A. Krashakov, Anton B. Teslyuk, Lev N. Shchu...
IJON
1998
44views more  IJON 1998»
15 years 6 months ago
Hierarchical RBF networks and local parameters estimate
The method presented here is aimed to a direct fast setting of the parameters of a RBF network for function approximation. It is based on a hierarchical gridding of the input spac...
N. Alberto Borghese, Stefano Ferrari
JMLR
2010
101views more  JMLR 2010»
15 years 1 months ago
Exploiting Feature Covariance in High-Dimensional Online Learning
Some online algorithms for linear classification model the uncertainty in their weights over the course of learning. Modeling the full covariance structure of the weights can prov...
Justin Ma, Alex Kulesza, Mark Dredze, Koby Crammer...
PET
2012
Springer
13 years 9 months ago
Differentially Private Continual Monitoring of Heavy Hitters from Distributed Streams
We consider applications scenarios where an untrusted aggregator wishes to continually monitor the heavy-hitters across a set of distributed streams. Since each stream can contain ...
T.-H. Hubert Chan, Mingfei Li, Elaine Shi, Wenchan...