413 search results - page 48 / 83 » Lattice Boltzmann Method |
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
FOCI
2007
IEEE
14 years 5 months ago
2007
IEEE
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
ICCAD
2005
IEEE
14 years 4 months ago
2005
IEEE
Thermal simulations are important for advanced electronic systems at multiple length scales. A major challenge involves electrothermal phenomena within nanoscale transistors, whic...
KDD
2010
ACM
14 years 2 months ago
2010
ACM
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
UAI
2004
14 years 6 days ago
2004
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...