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ESSMAC
2003
Springer
14 years 2 months ago
Analysis of Some Methods for Reduced Rank Gaussian Process Regression
Abstract. While there is strong motivation for using Gaussian Processes (GPs) due to their excellent performance in regression and classification problems, their computational com...
Joaquin Quiñonero Candela, Carl Edward Rasm...
CDC
2009
IEEE
169views Control Systems» more  CDC 2009»
14 years 1 months ago
Parametric regret in uncertain Markov decision processes
— We consider decision making in a Markovian setup where the reward parameters are not known in advance. Our performance criterion is the gap between the performance of the best ...
Huan Xu, Shie Mannor
SAC
2005
ACM
14 years 2 months ago
A complex biological database querying method
Many biological information systems rely on relational database management systems (RDBMS) to manage high-throughput biological data. While keeping these data well archived, organ...
Jake Yue Chen, John V. Carlis, Ning Gao
WSC
2000
13 years 10 months ago
Toward a standard process: the use of UML for designing simulation models
Designing complex simulation models is a task essentially associated with software engineering. In this paper, the Unified Modeling Language (UML) is used to specify simulation mo...
Hendrik Richter, Lothar März
AAAI
2007
13 years 11 months ago
Purely Epistemic Markov Decision Processes
Planning under uncertainty involves two distinct sources of uncertainty: uncertainty about the effects of actions and uncertainty about the current state of the world. The most wi...
Régis Sabbadin, Jérôme Lang, N...