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A Meta Classifier by Clustering of Classifiers
2014To learn any problem, many classifiers have been introduced so far. Each of these classifiers has many strengths (positive aspects) and weaknesses (negative aspects) that make it suitable for some specific problems. But there is no powerful solution to indicate which classifier is the best classifier (or at least a good one) for a special problem ...
Mohammad Iman Jamnejad +3 more
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Hybridizing Ensemble Classifiers with Individual Classifiers
2009 Ninth International Conference on Intelligent Systems Design and Applications, 2009Two extensive research areas in Machine Learning are classification and prediction. Many approaches have been focused in the induction of ensemble to increase learning accuracy of individual classifiers. Recently, new approaches, different to those that look for accurate and diverse base classifiers, are emerging. In this paper we present a system made
Gonzalo Ramos-Jiménez +2 more
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Neural Computation, 1998
We present a new classification architecture based on autoassociative neural networks that are used to learn discriminant models of each class. The proposed architecture has several interesting properties with respect to other model-based classifiers like nearest-neighbors or radial basis functions: it has a low computational complexity and uses a ...
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We present a new classification architecture based on autoassociative neural networks that are used to learn discriminant models of each class. The proposed architecture has several interesting properties with respect to other model-based classifiers like nearest-neighbors or radial basis functions: it has a low computational complexity and uses a ...
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TO CLASSIFY OR NOT TO CLASSIFY ... A REJOINDER
The Serials Librarian, 1981Classification of journals is not always advisable. Reasons are given for filing science journals by title, and suggestions are made concerning the arrangement of science collections.
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To classify or not to classify, that is the question?
Legal Information Management, 2002I recently found myself in the ‘enviable’ position of purchasing a library management system. The whole process gave me the chance to review the current classification scheme. The classification used was a ‘home made’ scheme based on broad legal topics.
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Coeliac disease: to classify or not to classify - that is the question!
Gastroenterology and hepatology from bed to bench, 2016.
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A Classifier Ensemble Method for Fuzzy Classifiers
2006In this paper, a classifier ensemble method based on fuzzy integral for fuzzy classifiers is proposed. The object of this method is to reduce subjective factor in building a fuzzy classifier, and to improve the classification recognition rate and stability for classification system.
Ai-Min Yang 0002 +2 more
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Classifier Selection in a Family of Polyhedron Classifiers
2009We consider an algorithm to approximate each class region by a small number of convex hulls and to apply them to classification. The convex hull of a finite set of points is computationally hard to be constructed in high dimensionality. Therefore, instead of the exact convex hull, we find an approximate convex hull (a polyhedron) in a time complexity ...
Tetsuji Takahashi +2 more
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Proceedings of the 38th annual on Southeast regional conference, 2000
The definition of what groupware is can be a topic of great debate and is often very broad. This allows many types of software to earn the name groupware but makes it very difficult to compare applications and to do any kind of background research in the field.
Jonathan D. Fouss, Kai-Hsiung Chang
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The definition of what groupware is can be a topic of great debate and is often very broad. This allows many types of software to earn the name groupware but makes it very difficult to compare applications and to do any kind of background research in the field.
Jonathan D. Fouss, Kai-Hsiung Chang
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998
We develop a common theoretical framework for combining classifiers which use distinct pattern representations and show that many existing schemes can be considered as special cases of compound classification where all the pattern representations are used jointly to make a decision.
Josef Kittler +3 more
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We develop a common theoretical framework for combining classifiers which use distinct pattern representations and show that many existing schemes can be considered as special cases of compound classification where all the pattern representations are used jointly to make a decision.
Josef Kittler +3 more
openaire +1 more source