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» Entropy of Discrete Fuzzy Measures
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IJCAI
1997
13 years 9 months ago
Minimum Splits Based Discretization for Continuous Features
Discretization refers to splitting the range of continuous values into intervals so as to provide useful information about classes. This is usually done by minimizing a goodness m...
Ke Wang, Han Chong Goh
TIT
1998
102views more  TIT 1998»
13 years 7 months ago
On Characterization of Entropy Function via Information Inequalities
—Given n discrete random variables = fX1;111; Xng, associated with any subset of f1; 2; 111; ng, there is a joint entropy H(X ) where X = fXi:i 2 g. This can be viewed as a f...
Zhen Zhang, Raymond W. Yeung
CIDM
2007
IEEE
13 years 11 months ago
Designing a Fuzzy Rule Based System to Estimate Depth of Anesthesia
Estimating the depth of anesthesia (DOA) is still a challenging area in anesthesia research. The objective of this study was to design a fuzzy rule based system which integrates el...
V. Esmaeili, Amin Assareh, M. B. Shamsollahi, Moha...
IAJIT
2008
115views more  IAJIT 2008»
13 years 7 months ago
Optimal Fuzzy Clustering in Overlapping Clusters
: The fuzzy c-means clustering algorithm has been widely used to obtain the fuzzy k-partitions. This algorithm requires that the user gives the number of clusters k. To find automa...
Ouafae Ammor, Abdelmounim Lachkar, Khadija Slaoui,...
ICCS
2007
Springer
14 years 1 months ago
A Generalised-Mutual-Information-Based Oracle for Hierarchical Radiosity
One of the main problems in the radiosity method is how to discretise a scene into mesh elements that allow us to accurately represent illumination. In this paper we present a new ...
Jaume Rigau, Miquel Feixas, Mateu Sbert