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» Ordinal Classification with Decision Rules
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ICIC
2007
Springer
14 years 1 months ago
Rough Set Theory of Shape Perception
Humans can easily recognize complex objects even if values of their attributes are imprecise and often inconsistent. It is not clear how the brain processes uncertain visual inform...
Andrzej W. Przybyszewski
FQAS
2009
Springer
113views Database» more  FQAS 2009»
13 years 5 months ago
On Reaching Consensus by a Group of Collaborating Agents
In this paper, an agent is defined as a triple (S, RS, LS), where S is a multi-hierarchical decision system, RS is a set of rules extracted from S defining values of its decision a...
Zbigniew W. Ras, Agnieszka Dardzinska
AUSAI
2007
Springer
14 years 1 months ago
Applying MCRDR to a Multidisciplinary Domain
This paper details updated results concerning an implementation of a Multiple Classification Ripple Down Rules (MCRDR) system which can be used to provide quality Decision Support ...
Ivan Bindoff, Byeong Ho Kang, Tristan Ling, Peter ...
ICIP
2010
IEEE
13 years 5 months ago
Building Emerging Pattern (EP) Random forest for recognition
The Random forest classifier comes to be the working horse for visual recognition community. It predicts the class label of an input data by aggregating the votes of multiple tree...
Liang Wang, Yizhou Wang, Debin Zhao
CSDA
2008
154views more  CSDA 2008»
13 years 7 months ago
Independent factor discriminant analysis
In the general classification context the recourse to the so-called Bayes decision rule requires to estimate the class conditional probability density functions. In this paper we p...
Angela Montanari, Daniela G. Calò, Cinzia V...