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NIPS
2003
15 years 3 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 4 days 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
123
Voted
GCC
2004
Springer
15 years 7 months ago
Engineering Process Coordination Based on a Service Event Notification Model
Abstract. Due to the complexity and uncertainties, the engineering process requires dynamic collaborations among the heterogeneous systems and human interactions. In this paper, we...
Jian Cao, Jie Wang, Shen-sheng Zhang, Minglu Li, K...
117
Voted
ICRA
2010
IEEE
185views Robotics» more  ICRA 2010»
15 years 8 days 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...
111
Voted
UML
1997
Springer
15 years 6 months ago
Business Process Modeling with EPC and UML: Transformation or Integration?
Markus Nüttgens, Thomas Feld, Volker Zimmerma...