440 search results - page 54 / 88 » Learning Nonlinear Dynamic Models from Non-sequenced Data |
BMCBI
2008
13 years 9 months ago
2008
Background: Eukaryotic promoter prediction using computational analysis techniques is one of the most difficult jobs in computational genomics that is essential for constructing a...
IOR
2010
13 years 6 months ago
2010
The paper considers a stylized model of a dynamic assortment optimization problem, where given a limited capacity constraint, we must decide the assortment of products to offer to...
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
Deep learning has been successfully applied to perform non-linear embedding. In this paper, we present supervised embedding techniques that use a deep network to collapse classes....
CA
1999
IEEE
14 years 1 months ago
1999
IEEE
This paper presents a simple and efficient method of modeling synthetic vision, memory, and learning for autonomous animated characters in real-time virtual environments. The mode...
AROBOTS
2011
13 years 3 months ago
2011
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...