Journal ArticleDOI
Methods of combining multiple classifiers and their applications to handwriting recognition
Lei Xu,Adam Krzyżak,Ching Y. Suen +2 more
- Vol. 22, Iss: 3, pp 418-435
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TLDR
On applying these methods to combine several classifiers for recognizing totally unconstrained handwritten numerals, the experimental results show that the performance of individual classifiers can be improved significantly.Abstract:
Possible solutions to the problem of combining classifiers can be divided into three categories according to the levels of information available from the various classifiers. Four approaches based on different methodologies are proposed for solving this problem. One is suitable for combining individual classifiers such as Bayesian, k-nearest-neighbor, and various distance classifiers. The other three could be used for combining any kind of individual classifiers. On applying these methods to combine several classifiers for recognizing totally unconstrained handwritten numerals, the experimental results show that the performance of individual classifiers can be improved significantly. For example, on the US zipcode database, 98.9% recognition with 0.90% substitution and 0.2% rejection can be obtained, as well as high reliability with 95% recognition, 0% substitution, and 5% rejection. >read more
Citations
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Journal ArticleDOI
Hyperlink ensembles: a case study in hypertext classification
TL;DR: This paper introduces hyperlink ensembles, a novel type of ensemble classifier for classifying hypertext documents, and explores four different ways of combining the individual predictions and four different techniques for identifying relevant text portions.
Journal ArticleDOI
Prediction of carbon dioxide solubility in ionic liquids using MLP and radial basis function (RBF) neural networks
Afshin Tatar,Saeid Naseri,Mohammad Hadi Bahadori,Ali Zeinolabedini Hezave,Tomoaki Kashiwao,Alireza Bahadori,Hoda Darvish +6 more
TL;DR: In this paper, four different methods based on artificial intelligence are proposed to predict CO2 solubility in different ionic liquids and the results showed that the predicted values are in great agreement with the experimental data and the maximum absolute error deviation for the best predictor is no more than 3.5%.
Journal ArticleDOI
Evaluation of decision fusion strategies for effective collaboration among heterogeneous fault diagnostic methods
TL;DR: Evidence-based fusion strategies such as weighted voting, Bayesian, and Dempster–Shafer based fusion can provide complete fault coverage and significant improvement in monitoring performance in situations where no single FDI method offers adequate performance.
Journal ArticleDOI
Calligraphic Interfaces: Classifier combination for sketch-based 3D part retrieval
Suyu Hou,Karthik Ramani +1 more
TL;DR: A weighted linear combination rule, called adapted minimum classification error (AMCE), is developed to concurrently minimize the classification errors and the log likelihood errors and shows that users can easily identify the desired classes and then the parts under the proposed method and algorithms.
Proceedings ArticleDOI
On Combining Backpropagation with Boosting
TL;DR: This work proposes a method which overcomes the above drawback and test it on neuro-fuzzy systems constituting a classifier ensemble using some well known benchmarks.
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