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JMLR
2010
139views more  JMLR 2010»
15 years 1 months ago
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines
Alternating Gibbs sampling is the most common scheme used for sampling from Restricted Boltzmann Machines (RBM), a crucial component in deep architectures such as Deep Belief Netw...
Guillaume Desjardins, Aaron C. Courville, Yoshua B...
218
Voted
JMLR
2010
198views more  JMLR 2010»
15 years 1 months ago
Online Anomaly Detection under Adversarial Impact
Security analysis of learning algorithms is gaining increasing importance, especially since they have become target of deliberate obstruction in certain applications. Some securit...
Marius Kloft, Pavel Laskov
JMLR
2010
105views more  JMLR 2010»
15 years 1 months ago
A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra
Projection Reconstruction Nuclear Magnetic Resonance (PR-NMR) is a new technique to generate multi-dimensional NMR spectra, which have discrete features that are relatively sparse...
Ji Won Yoon, Simon P. Wilson, K. Hun Mok
JMLR
2010
125views more  JMLR 2010»
15 years 1 months ago
Regret Bounds for Gaussian Process Bandit Problems
Bandit algorithms are concerned with trading exploration with exploitation where a number of options are available but we can only learn their quality by experimenting with them. ...
Steffen Grünewälder, Jean-Yves Audibert,...
209
Voted
JMLR
2010
182views more  JMLR 2010»
15 years 1 months ago
Decision Tree for Dynamic and Uncertain Data Streams
Current research on data stream classification mainly focuses on certain data, in which precise and definite value is usually assumed. However, data with uncertainty is quite natu...
Chunquan Liang, Yang Zhang, Qun Song