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AAAI
1997
15 years 8 months ago
Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
Milos Hauskrecht
IMAGING
2000
15 years 8 months ago
Illuminant Estimation: Beyond the Bases
We describe spectral estimation principles that are useful for color balancing, color conversion, and sensor design. The principles extend conventional estimation methods, which r...
Jeffrey M. DiCarlo, Brian A. Wandell
WSC
2000
15 years 8 months ago
Simulation output analysis via dynamic batch means
This paper is focused on estimating the quality of the sample mean from a steady-state simulation experiment with consideration of computational efficiency, memory requirement, an...
Yingchieh Yeh, Bruce W. Schmeiser
UAI
1996
15 years 8 months ago
Learning Bayesian Networks with Local Structure
In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...
Nir Friedman, Moisés Goldszmidt
VVEIS
2007
15 years 7 months ago
Transformation of BPMN Models for Behaviour Analysis
Abstract. In industry, many business processes are modelled and stored in Enterprise Information Systems (EIS). Tools supporting the verification and validation of business process...
Ivo Raedts, Marija Petkovic, Yaroslav S. Usenko, J...