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» On the Accuracy of Type-2 Fuzzy Sets
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NN
2006
Springer
114views Neural Networks» more  NN 2006»
13 years 7 months ago
Modular learning models in forecasting natural phenomena
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
Dimitri P. Solomatine, Michael Baskara L. A. Siek
MICCAI
2007
Springer
14 years 8 months ago
LOCUS: LOcal Cooperative Unified Segmentation of MRI Brain Scans
Abstract. We propose to carry out cooperatively both tissue and structure segmentations by distributing a set of local and cooperative models in a unified MRF framework. Tissue seg...
Benoit Scherrer, Michel Dojat, Florence Forbes, Ca...
NN
1998
Springer
148views Neural Networks» more  NN 1998»
13 years 7 months ago
ARTMAP-IC and medical diagnosis: Instance counting and inconsistent cases
For complex database prediction problems such as medical diagnosis, the ARTMAP-IC neural network adds distributed prediction and category instance counting to the basic fuzzy ARTM...
Gail A. Carpenter, Natalya Markuzon
TKDE
2010
149views more  TKDE 2010»
13 years 2 months ago
A Configurable Rete-OO Engine for Reasoning with Different Types of Imperfect Information
The RETE algorithm is a very efficient option for the development of a rule-based system, but it supports only boolean, first order logic. Many real-world contexts, instead, requir...
Davide Sottara, Paola Mello, Mark Proctor
BMCBI
2007
144views more  BMCBI 2007»
13 years 7 months ago
Application of amino acid occurrence for discriminating different folding types of globular proteins
Background: Predicting the three-dimensional structure of a protein from its amino acid sequence is a long-standing goal in computational/molecular biology. The discrimination of ...
Y.-h. Taguchi, M. Michael Gromiha