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		题名	作者	年代	出处	被引量
	1	A Novel Active Learning Method Using SVM for Text Classification显示文摘Support vector machines(SVMs) are a popular class of supervised learning algorithms, and are particularly applicable to large and high-dimensional classification problems. Like most machine learning methods for data classification and information retrieval, they require manually labeled data samples in the training stage. However, manual labeling is a time consuming and errorprone task. One possible solution to this issue is to exploit the large number of unlabeled samples that are easily accessible via the internet. This paper presents a novel active learning method for text categorization. The main objective of active learning is to reduce the labeling effort, without compromising the accuracy of classification, by intelligently selecting which samples should be labeled.The proposed method selects a batch of informative samples using the posterior probabilities provided by a set of multi-class SVM classifiers, and these samples are then manually labeled by an expert. Experimental results indicate that the proposed active learning method significantly reduces the labeling effort, while simultaneously enhancing the classification accuracy.	Mohamed Goudjil Mouloud Koudil Mouldi Bedda Noureddine Ghoggali	2018	International Journal of Automation and computing2018，15，3：	17
	2	Using artificial bees to solve partitioning and scheduling problems in codesign显示文摘	Koudil M Benatchba K Tarabet A	2007	Applied Mathematics and Computation2007，186，2：	1
	3	A new weighted shortest path tree for converge cast traffic routing in WSN显示文摘	BECHKIT Walid KOUDIL Mouloud CHALLAL Yacine		0，，13：	1
	4	Using artificial bees to solve partitioning and scheduling problems in codesign 显示文摘	KOUDIL M BENATCHBA K TARABET A	2007	Applied Mathematics and Computation2007，186，2：	1
	5	Using artificial bees to solve partitioning and scheduling problems in codesign 显示文摘	KOUDIL M BENATCHBA K TARABET A	2007	Applied Mathematics and Computation2007，186，2：	1
	6	Using artificial bees to solve partitioning and scheduling problems in code sign显示文摘	Koudil M Benatchba K Tarabet A	2007	Applied Mathematics and Computation2007，186，2：	1
	7	Using artificial bees to solve partitioning and scheduling problems in codesign 显示文摘	KOUDIL M BENATCHBA K TARABET A	2007	Applied Mathematics and Computation2007，186，2：	1
	8	Using artificial bees to solve partitioning and scheduling problems in codesign显示文摘	Koudil M Benatchba K Tarabet A	2007	Applied Mathematics and Computation2007，186，2：	1
	9	Using artificial bees to solve partitioning and scheduling problems in codesign 显示文摘	Mouloud Koudil	2007	Applied Mathematics and Computation2007，186，2：	1
	10	Using artificial bees to solve partitioning and scheduling problems in code sign 显示文摘	Koudil M	2007	Applied Mathematics and Computation2007，186，2：	1
	11	Using artificial bees to solve partitioning and scheduling problems in codesign显示文摘	Koudil M Benatchba K Tarabet A	2007	Ap- plied Mathematics and Computation2007，，186：	1
	12	Study of liquid spreading from a point source in a trickle bed via gamma-ray tomography and CFD simulation显示文摘	C. Boyer A. Koudil P. Chen M.P. Dudukovic	2005	Chemical Engineering Science2005，，22：	1

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