454 search results - page 9 / 91 » Models for Data-Flow Sequential Processes |
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
In design of experiments for nonlinear regression model identification, the design criterion depends on the unknown parameters to be identified. Classical strategies consist in ...
BMCBI
2007
13 years 7 months ago
2007
Background: Scientific workflows improve the process of scientific experiments by making computations explicit, underscoring data flow, and emphasizing the participation of humans...
NIPS
1998
13 years 8 months ago
1998
We propose a novel strategy for training neural networks using sequential Monte Carlo algorithms. This global optimisation strategy allows us to learn the probability distribution...
CORR
2012
Springer
12 years 3 months ago
2012
Springer
Latent force models (LFMs) are hybrid models combining mechanistic principles with non-parametric components. In this article, we shall show how LFMs can be equivalently formulate...
JCB
2006
13 years 7 months ago
2006
As postgenomic biology becomes more predictive, the ability to infer rate parameters of genetic and biochemical networks will become increasingly important. In this paper, we expl...