MULTIPLE CLASSIFIER COMBINATION: LESSONS AND NEXT STEPS

2002 ◽  
pp. 171-198 ◽  
Author(s):  
Tin Kam Ho
Keyword(s):  
Classifier Combination ◽  
Multiple Classifier

Review of IDS Develepment Methods in Machine Learning

2016 ◽  
Vol 6 (5) ◽  
pp. 2432 ◽  
Author(s):  
Abdulla Aburomman ◽  
Mamun Bin Ibne Reaz
Keyword(s):  
Machine Learning ◽  
Decision Making ◽  
Review Paper ◽  
Classifier Combination ◽  
Multiple Classifier Systems ◽  
Classifier Systems ◽  
New Methods ◽  
Multiple Classifier ◽  
Number Of Publications ◽  
Combined Classifier

<p>Due to the rapid advancement of knowledge and technologies, the problem of decision making is getting more sophisticated to address, therefore the inventing of new methods to solve it is very important. One of the promising directions in machine learning and data mining is classifier combination. The popularity of this approach is confirmed by the still growing number of publications. This review paper focuses mainly on classifier combination known also as combined classifier, multiple classifier systems, or classifier ensemble. Eventually, recommendations and suggestions have also included.</p>

scholarly journals Fruit Color Recognition Based on Multiple Classifier Combination

2016 ◽  
Vol 10 (1) ◽  
pp. 12-17
Author(s):  
Tang Yong ◽  
Shen Cong ◽  
Gu Ren-Shu ◽  
Li Peng
Keyword(s):  
Fruit Color ◽  
Classifier Combination ◽  
Color Recognition ◽  
Multiple Classifier

Multiple Classifier Combination For Recognition Of Wheat Leaf Diseases

2011 ◽  
Vol 17 (5) ◽  
pp. 519-529 ◽  
Author(s):  
Yuan Tian ◽  
Chunjiang Zhao ◽  
Shenglian Lu ◽  
Xinyu Guo
Keyword(s):  
Classifier Combination ◽  
Wheat Leaf ◽  
Multiple Classifier

Multiple classifier combination for face-based identity verification

2004 ◽  
Vol 37 (7) ◽  
pp. 1459-1469 ◽  
Author(s):  
Jacek Czyz ◽  
Josef Kittler ◽  
Luc Vandendorpe
Keyword(s):  
Classifier Combination ◽  
Identity Verification ◽  
Multiple Classifier
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