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NIPS
2003
15 years 7 months ago
Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data
In this paper we introduce a new underlying probabilistic model for principal component analysis (PCA). Our formulation interprets PCA as a particular Gaussian process prior on a ...
Neil D. Lawrence
DGO
2003
85views Education» more  DGO 2003»
15 years 7 months ago
Trust Resource Management in Digital Government Through Process Modeling
This paper explores the use of process technology to create formal process models to increase the level of trust that stakeholders have in digital government. Digital Government s...
Lee Osterwil, Norman K. Sondheimer, Anthony Butter...
IROS
2008
IEEE
211views Robotics» more  IROS 2008»
16 years 21 days ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox
WSC
2007
15 years 8 months ago
Manufacturing process management using a flexible modeling and simulation approach
The focus of this paper is a manufacturing system placed in Calabria (Italy) which produces high pressure hydraulic hoses. The objective is to implement a simulator to be used bot...
Duilio Curcio, Francesco Longo, Giovanni Mirabelli
ICCS
2005
Springer
15 years 11 months ago
Modelling Dynamics of Genetic Networks as a Multiscale Process
A key phenomenon in the dynamics of genetic networks is the cell cycle. In the study of this phenomenon, an important task is to understand how many processes, acting on different...
Xilin Wei, Roderick V. N. Melnik, Gabriel Moreno-H...