1137 search results - page 153 / 228 » Parametric Process Model Inference |
NN
2007
Springer
13 years 8 months ago
2007
Springer
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
Cluster analysis of ranking data, which occurs in consumer questionnaires, voting forms or other inquiries of preferences, attempts to identify typical groups of rank choices. Emp...
FOIKS
2008
Springer
14 years 5 months ago
2008
Springer
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
AIED
2009
Springer
14 years 3 months ago
2009
Springer
Self-explaining is a beneficial learning strategy for studying worked-out examples because it either supplies missing information through the generation of inferences or because it...
ICIP
2008
IEEE
14 years 3 months ago
2008
IEEE
In this paper we propose a novel algorithm for super resolution based on total variation prior and variational distribution approximations. We formulate the problem using a hierar...