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RSFDGRC
2005
Springer
134views Data Mining» more  RSFDGRC 2005»
15 years 3 months ago
The Computational Complexity of Inference Using Rough Set Flow Graphs
Pawlak recently introduced rough set flow graphs (RSFGs) as a graphical framework for reasoning from data. Each rule is associated with three coefficients, which have been shown t...
Cory J. Butz, Wen Yan, Boting Yang
NN
2006
Springer
120views Neural Networks» more  NN 2006»
14 years 9 months ago
Computational intelligence in earth sciences and environmental applications: Issues and challenges
This paper introduces a generic theoretical framework for predictive learning, and relates it to data-driven and learning applications in earth and environmental sciences. The iss...
Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dim...
ISIPTA
2003
IEEE
126views Mathematics» more  ISIPTA 2003»
15 years 3 months ago
Robust Estimators under the Imprecise Dirichlet Model
Walley’s Imprecise Dirichlet Model (IDM) for categorical data overcomes several fundamental problems which other approaches to uncertainty suffer from. Yet, to be useful in prac...
Marcus Hutter
ATMOS
2007
138views Optimization» more  ATMOS 2007»
14 years 11 months ago
A new concept of robustness
In this paper a new concept of robustness is introduced and the corresponding optimization problem is stated. This new concept is applied to transportation network designs in which...
Ricardo García, Ángel Marín, ...
AUTOMATICA
2007
68views more  AUTOMATICA 2007»
14 years 10 months ago
A risk adjusted approach to robust simultaneous fault detection and isolation
: In this paper we address the problem of detecting and isolating faults from noisy input/output measurements of a MIMO uncertain–system, subject to structured dynamic uncertaint...
Wenjing Ma, Mario Sznaier, Constantino M. Lagoa