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41篇 您的检索式：作者名="MONARD M C"

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	题名	作者	年代	出处	被引量
1	A Study of the Behavior of Several Methods for Balancing Machine Learning TrainingData显示文摘	Batista G E A Prati R C Monard M C	2004	ACM SIGKDD Explorations Newsletter2004，6，1：	1
2	A study of the behavior of several methods for balancing ma- chine learning training data 显示文摘	BatistaG E A P A Prati R C Monard M C	2004	ACM SIGKDD Explo- rations Newsletter2004，6，1：	1
3	A study of the behavior of several methods for balancing machine learning training data显示文摘	Gustavo E A P A B Ronaldo C P Monard M C	2004	ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD)2004，6，1：	1
4	A systematic review to identify feature selection publications in multi-labeled data显示文摘	SpolaSr N Monard M C Lee H D	2012	Relat6rio T6cnico do ICMC No2012，374，31：	1
5	A Study of the Behavior of Several Methods for Balancing Machine Learning Training Data 显示文摘	Batista G E Prati R C Monard M C	2004	ACM SIGKDD Explorations Newsletter2004，6，1：	1
6	A study of the behavior of several methods for balancing machine learning training data显示文摘	Batista E A P A Prati R C Monard M C	2004	SIGKDD Explorations Newsletters2004，6，1：	1
7	A study of the behavior of several methods for balancing machine learning training data显示文摘	BATISTA G PRATI R C MONARD M C	2004	ACM SIGKDD explorations newsletter2004，6，1：	1
8	A study of the behavior of several methods for balancing machine learning training data显示文摘	Batista G E Prati R C Monard M C	2004	ACM SIGKDD Explorations Newsletter2004，6，1：	1
9	Study of the behavior of several methods for balancing machine learning training data显示文摘	Batista G e Pratti R C Monard M C	2004	ACM SIGKDD Explorations Newslette -Special Issue on Learning From Imbalanced Datasets2004，6，1：	1
10	A study of the Behavior of several methods for balancing machine learning training data 显示文摘	Batista G E A P A Prati R C Monard M C	2004	SIGKDD Explorations Special Issue on Learning from Imbalaneed Datasets2004，6，1：	1
11	An analysis of four missing data treatment methods for supervised learning显示文摘	Batista G Monard M C	2003	Applied Artificial Intelligence2003，17，56：	1
12	An analysis of four missing data treatment methods for supervised learning 显示文摘	Batista G E A P A Monard M C	2003	Applied Artificial Intelligence2003，17，56：	1
13	A study of the behavior of several methods for balancing machine learning training data显示文摘	Bastista G E Prati R C Monard M C	2004	ACM SIGKDD Exploration Newsletter2004，6，1：	1
14	A study of the behavior of several methods for balancing machine learning training data显示文摘	PRATI R C BATISTA G MONARD M C		0，，01：	1
15	A Study of the Behavior of Several Methods for Balancing Machine Learning Training Data显示文摘	BATISTA G PRATI R C MONARD M C		0，，01：	1
16	A study of the behavior of several methods for balancing machine learning training data显示文摘	Batista G E A Prati R C Monard M C	2004	SIGKDD Explorations2004，6，1：	1
17	An analysis of four missing data treatment methods for supervised learning 显示文摘	Batista G E A P A Monard M C	2003	Applied Artificial Intelli- gence2003，17，56：	1
18	A Study of the Behavior of Several Methods for Balancing Machine Learning Training Data显示文摘	BATISTA G PRATI R C MONARD M C		0，，01：	1
19	A study of the behavior of several methods for halaneing machine learning training data 显示文摘	Batista E A P A Prati R C Monard M C	2004	SIGKDD Explorations Newsletters2004，6，1：	1
20	A Study of the Behavior of Several Methods for Balancing Machine Learning Training Data显示文摘	Batista G E A P A Prati R C Monard M C	2004	ACM SIGKDD Explorations Newsletter2004，6，1：	1

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