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ESSMAC
2003
Springer
14 years 3 months ago
Nonlinear Predictive Control with a Gaussian Process Model
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
Jus Kocijan, Roderick Murray-Smith
NIPS
2007
13 years 11 months ago
Predictive Matrix-Variate t Models
It is becoming increasingly important to learn from a partially-observed random matrix and predict its missing elements. We assume that the entire matrix is a single sample drawn ...
Shenghuo Zhu, Kai Yu, Yihong Gong
IPPS
2006
IEEE
14 years 4 months ago
A simulator for parallel applications with dynamically varying compute node allocation
Dynamically allocating computing nodes to parallel applications is a promising technique for improving the utilization of cluster resources. We introduce the concept of dynamic ef...
Basile Schaeli, B. Gerlach, Roger D. Hersch
GECCO
2010
Springer
155views Optimization» more  GECCO 2010»
14 years 2 months ago
Evolutionary optimization of flavors
We have acquired panelist data that provides hedonic (liking) ratings for a set of 40 flavors each composed of the same 7 ingredients at different concentration levels. Our goal...
Kalyan Veeramachaneni, Katya Vladislavleva, Matt B...
ATAL
2007
Springer
14 years 4 months ago
ARTS: agent-oriented robust transactional system
This paper presents the ARTS (Agent-oriented Robust Transactional System) model, which applies transaction concepts to provide agent developers with high-level support for agent s...
Mingzhong Wang, Amy Unruh, Kotagiri Ramamohanarao