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ESSMAC
2003
Springer
15 years 9 months ago
Filtered Gaussian Processes for Learning with Large Data-Sets
Kernel-based non-parametric models have been applied widely over recent years. However, the associated computational complexity imposes limitations on the applicability of those me...
Jian Qing Shi, Roderick Murray-Smith, D. M. Titter...
136
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IPMU
2010
Springer
15 years 8 months ago
A New Adaptive Consensus Reaching Process Based on the Experts' Importance
Usually, in a group decision context, the importance level, confidence degree and amount of knowledge are very different among individuals. So, when all the individuals have to r...
Ignacio J. Pérez, Francisco Javier Cabreriz...
140
Voted
MOBIS
2008
15 years 5 months ago
Policy-Based Semantic Compliance Checking for Business Process Management
: Compliance management, risk analysis, and auditing are disciplines that are critical for large scale distributed enterprise systems. The way these complex systems are developed a...
Marwane El Kharbili, Sebastian Stein
141
Voted
NIPS
2003
15 years 5 months ago
Gaussian Processes in Reinforcement Learning
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
Carl Edward Rasmussen, Malte Kuss
138
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WSC
2000
15 years 5 months ago
Simulation based design for a shipyard manufacturing process
Discrete event simulation can be used for virtual prototyping of new manufacturing facilities. Models built for this purpose must be easy to use, flexible, and provide a realistic...
Deborah J. Medeiros, Mark T. Traband, April Tribbl...