104 search results - page 6 / 21 » A Probabilistic Learning Approach to Whole-Genome Operon Pre... |
ESSMAC
2003
Springer
14 years 27 days ago
2003
Springer
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
ICRA
2005
IEEE
14 years 1 months ago
2005
IEEE
— Probabilistic sampling-based motion planners are unable to detect when no feasible path exists. A common heuristic is to declare a query infeasible if a path is not found in a ...
NIPS
2004
13 years 9 months ago
2004
Clustering and prediction of sets of curves is an important problem in many areas of science and engineering. It is often the case that curves tend to be misaligned from each othe...
AAAI
2006
13 years 9 months ago
2006
Recent years have witnessed a growing interest in interactive narrative-centered virtual environments for education, training, and entertainment. Narrative environments dynamicall...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
An important problem in image labeling concerns learning with images labeled at varying levels of specificity. We propose an approach that can incorporate images with labels drawn...