61 search results - page 4 / 13 » Adaptive Importance Sampling with Automatic Model Selection ... |
JCB
2008
13 years 6 months ago
2008
Quantification of statistical significance is essential for the interpretation of protein structural similarity. To address this, a random model for protein structure comparison w...
CSDA
2011
13 years 1 months ago
2011
Motivated by the application of seismic inversion in the petroleum industry we consider a hidden Markov model with two hidden layers. The bottom layer is a Markov chain and given ...
GECCO
2006
Springer
13 years 10 months ago
2006
Springer
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...
NA
2011
13 years 1 months ago
2011
Grid adaptation in two-point boundary value problems is usually based on mapping a uniform auxiliary grid to the desired nonuniform grid. Here we combine this approach with a new ...
NN
2008
Springer
13 years 6 months ago
2008
Springer
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...