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JMLR
2008
209views more  JMLR 2008»
13 years 9 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
DAM
2007
153views more  DAM 2007»
13 years 9 months ago
Computing the minimum number of hybridization events for a consistent evolutionary history
It is now well-documented that the structure of evolutionary relationships between a set of present-day species is not necessarily tree-like. The reason for this is that reticulat...
Magnus Bordewich, Charles Semple
JSCIC
2008
96views more  JSCIC 2008»
13 years 9 months ago
Second-Order Accurate Godunov Scheme for Multicomponent Flows on Moving Triangular Meshes
This paper presents a second-order accurate adaptive Godunov method for twodimensional (2D) compressible multicomponent flows, which is an extension of the previous adaptive movin...
Guoxian Chen, Huazhong Tang, Pingwen Zhang
EOR
2007
96views more  EOR 2007»
13 years 9 months ago
A fast method for discovering critical edge sequences in e-commerce catalogs
Web sites allow the collection of vast amounts of navigational data – clickstreams of user traversals through the site. These massive data stores offer the tantalizing possibil...
Kaushik Dutta, Debra E. VanderMeer, Anindya Datta,...
NECO
2008
170views more  NECO 2008»
13 years 9 months ago
Representational Power of Restricted Boltzmann Machines and Deep Belief Networks
Deep Belief Networks (DBN) are generative neural network models with many layers of hidden explanatory factors, recently introduced by Hinton et al., along with a greedy layer-wis...
Nicolas Le Roux, Yoshua Bengio
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