Combination of multiple classifiers for the customer's purchase behavior prediction
E Kim, W Kim, Y Lee - Decision Support Systems, 2003 - Elsevier
In these days, EC companies are eager to learn about their customers using data mining
technologies. But the diverse situations of such companies make it difficult to know which is …
technologies. But the diverse situations of such companies make it difficult to know which is …
An evolutionary approach to the combination of multiple classifiers to predict a stock price index
Multiple classifier combination is a technique that combines the decisions of different
classifiers. Combination can reduce the variance of estimation errors and improve the …
classifiers. Combination can reduce the variance of estimation errors and improve the …
Fusion of handwritten word classifiers
Fusion of handwritten word classifiers Page 1 ELSEVIER Pattern Recognition Letters 17 (1996)
577-584 Pattern Recognition Le~em Fusion of handwritten word classifiers Paul D. Gader …
577-584 Pattern Recognition Le~em Fusion of handwritten word classifiers Paul D. Gader …
The prediction for listed companies' financial distress by using multiple prediction methods with rough set and Dempster–Shafer evidence theory
It is critical to build an effective prediction model to improve the accuracy of financial distress
prediction. Some existing literatures have demonstrated that single classifier has limitations …
prediction. Some existing literatures have demonstrated that single classifier has limitations …
A theory of classifier combination: the neural network approach
DS Lee, SN Srihari - Proceedings of 3rd international …, 1995 - ieeexplore.ieee.org
The paper examines the general classifier combination problem under strict separation of
the classifier and combinator design. Several desirable combinator properties are identified …
the classifier and combinator design. Several desirable combinator properties are identified …
Design of TCP SYN Flood DDoS attack detection using artificial immune systems
G Ramadhan, Y Kurniawan… - 2016 6th International …, 2016 - ieeexplore.ieee.org
TCP Flood DDoS attack is one of the most commonly-used attacks. DDoS has a huge impact
on the victim because DDoS attack can multiply the power of attack and makes the victim …
on the victim because DDoS attack can multiply the power of attack and makes the victim …
A systematic approach to classifier selection on combining multiple classifiers for handwritten digit recognition
J Kim, K Seo, K Chung - Proceedings of the Fourth …, 1997 - ieeexplore.ieee.org
Much research has been done on combining multiple classifiers for handwritten character
recognition to improve the performance of the classifier. Given a fixed set of classifiers using …
recognition to improve the performance of the classifier. Given a fixed set of classifiers using …
Combination of multiple classifier decisions for optical character recognition
L Lam, YS Huang, CY Suen - Handbook of Character Recognition …, 1997 - World Scientific
In order to improve recognition results, decisions of several classifiers can be combined. The
combination can be accomplished in different ways depending on the types of information …
combination can be accomplished in different ways depending on the types of information …
Lipreading: A classifier combination approach
In this paper we investigate the potential of classifier combination for lipreading. Totally,
three lipreading classifiers are used in our study, which are based on hidden Markov …
three lipreading classifiers are used in our study, which are based on hidden Markov …
Multiple classifier fusion for handwritten word recognition
A method for fusing recognition results from multiple handwritten word recognition
algorithms is presented. The fusion algorithm relies on a novel application of the Choquet …
algorithms is presented. The fusion algorithm relies on a novel application of the Choquet …