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» A Modelling Framework for Functional Imagination
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IJCAI
2003
15 years 5 months ago
Gaussian Process Models of Spatial Aggregation Algorithms
Multi-level spatial aggregates are important for data mining in a variety of scientific and engineering applications, from analysis of weather data (aggregating temperature and p...
Naren Ramakrishnan, Christopher Bailey-Kellogg
138
Voted
DSS
2002
82views more  DSS 2002»
15 years 3 months ago
On the discovery of process models from their instances
A thorough understanding of the way in which existing business processes currently practice is essential from the perspectives of both process reengineering and workflow managemen...
San-Yih Hwang, Wan-Shiou Yang
JSAC
1998
126views more  JSAC 1998»
15 years 3 months ago
Iterative Decoding of Compound Codes by Probability Propagation in Graphical Models
Abstract—We present a unified graphical model framework for describing compound codes and deriving iterative decoding algorithms. After reviewing a variety of graphical models (...
Frank R. Kschischang, Brendan J. Frey
154
Voted
IDT
2010
124views more  IDT 2010»
15 years 2 months ago
Modelling decision making with probabilistic causation
Humans know how to reason based on cause and effect, but cause and effect is not enough to draw conclusions due to the problem of imperfect information and uncertainty. To resol...
Luís Moniz Pereira, Carroline Kencana Ramli
136
Voted
CDC
2010
IEEE
150views Control Systems» more  CDC 2010»
14 years 10 months ago
Nonlinear hybrid system identification with kernel models
Abstract-- This paper focuses on the identification of nonlinear hybrid systems involving unknown nonlinear dynamics. The proposed method extends the framework of [1] by introducin...
Fabien Lauer, Gérard Bloch, René Vid...