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» Nonlinear Predictive Control with a Gaussian Process Model
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JMLR
2011
148views more  JMLR 2011»
14 years 8 months ago
Bayesian Generalized Kernel Mixed Models
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
Zhihua Zhang, Guang Dai, Michael I. Jordan
102
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IJCAI
2003
15 years 3 months ago
Modeling Web Navigation: Methods and Challenges
A computational cognitive model of Web navigation is a working computer system that simulates human users searching for items in a Web site. A fully working model must automate asp...
Craig S. Miller
124
Voted
ISLPED
1995
ACM
116views Hardware» more  ISLPED 1995»
15 years 5 months ago
Activity-sensitive architectural power analysis for the control path
Prompted by demands for portability and low-cost packaging, the electronics industry has begun to view power consumption as a critical design criteria. As such there is a growing ...
Paul E. Landman, Jan M. Rabaey
AMC
2008
94views more  AMC 2008»
15 years 2 months ago
Modeling and inversion of net ecological exchange data using an Ito stochastic differential equation approach
A system of stochastic differential equations is studied describing a compartmental carbon transfer model that includes uncertainties arising in the model from environmental and p...
Luther White, Yiqi Luo
IJCSA
2007
100views more  IJCSA 2007»
15 years 1 months ago
Using Artificial Neural networks for the modelling of a distillation column
The main aim of this paper is to establish a reliable model both for the steady-state and unsteady-state regimes of a nonlinear process. The use of this model should reflect the t...
Yahya Chetouani