509 search results - page 17 / 102 » Dynamic Modeling in Inductive Inference |
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...
NIPS
2003
13 years 9 months ago
2003
We describe a Markov chain method for sampling from the distribution of the hidden state sequence in a non-linear dynamical system, given a sequence of observations. This method u...
METMBS
2003
13 years 9 months ago
2003
Causal Probabilistic Networks (CPNs), (a.k.a. Bayesian Networks, or Belief Networks) are well-established representations in biomedical applications such as decision support system...
NIPS
2003
13 years 9 months ago
2003
Rao–Blackwellization is an approximation technique for probabilistic inference that flexibly combines exact inference with sampling. It is useful in models where conditioning o...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Sequence segmentation is a flexible and highly accurate mechanism for modeling several applications. Inference on segmentation models involves dynamic programming computations tha...