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180
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NIPS
2003
15 years 6 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
ESWS
2009
Springer
15 years 2 months ago
Towards an Agent Based Approach for Verification of OWL-S Process Models
Abstract. In this paper we investigate the transformation of OWL-S process models to ISPL - the system description language for MCMAS, a symbolic model checker for multi agent syst...
Alessio Lomuscio, Monika Solanki
144
Voted
ICRA
2010
IEEE
185views Robotics» more  ICRA 2010»
15 years 2 months ago
Heteroscedastic Gaussian processes for data fusion in large scale terrain modeling
This paper presents a novel approach to data fusion for stochastic processes that model spatial data. It addresses the problem of data fusion in the context of large scale terrain ...
Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton...
148
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DAC
2005
ACM
15 years 6 months ago
Mapping statistical process variations toward circuit performance variability: an analytical modeling approach
A physical yet compact gate delay model is developed integrating short-channel effects and the Alpha-power law based timing model. This analytical approach accurately predicts bot...
Yu Cao, Lawrence T. Clark