566 search results - page 19 / 114 » Nonlinear Predictive Control with a Gaussian Process Model |
114
Voted
ESSMAC
2003
Springer
15 years 7 months ago
2003
Springer
Kernel-based non-parametric models have been applied widely over recent years. However, the associated computational complexity imposes limitations on the applicability of those me...
120
click to vote
CORR
2010
Springer
15 years 1 months ago
2010
Springer
Probabilistic matrix factorization (PMF) is a powerful method for modeling data associated with pairwise relationships, finding use in collaborative filtering, computational biolo...
155
click to vote
ESSMAC
2003
Springer
15 years 7 months ago
2003
Springer
Abstract. While there is strong motivation for using Gaussian Processes (GPs) due to their excellent performance in regression and classification problems, their computational com...
CDC
2008
IEEE
15 years 8 months ago
2008
IEEE
Ionic polymer-metal composites (IPMCs) form an important category of electroactive polymers and have many potential applications in biomedical, robotic and micro/nano manipulation ...
114
click to vote
CDC
2008
IEEE
15 years 8 months ago
2008
IEEE
— Protein synthesis is an essential process of cell cycle and growth in eukaryotic cells. The initiation stage of the translation process is known to be the most crucial in regul...