标题
Extreme Learning Machine for Multi-Label Classification
作者
关键词
-
出版物
Entropy
Volume 18, Issue 6, Pages 225
出版商
MDPI AG
发表日期
2016-06-08
DOI
10.3390/e18060225
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Universal Approximation with Convex Optimization: Gimmick or Reality? [Discussion Forum]
- (2015) Jose C. Principe et al. IEEE Computational Intelligence Magazine
- Multi-label core vector machine with a zero label
- (2014) Jianhua Xu PATTERN RECOGNITION
- A Review on Multi-Label Learning Algorithms
- (2013) Min-Ling Zhang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Quantized Kernel Recursive Least Squares Algorithm
- (2013) Badong Chen et al. IEEE Transactions on Neural Networks and Learning Systems
- Fashion retailing forecasting based on extreme learning machine with adaptive metrics of inputs
- (2012) Min Xia et al. KNOWLEDGE-BASED SYSTEMS
- Robust extreme learning machine
- (2012) Punyaphol Horata et al. NEUROCOMPUTING
- LIBSVM
- (2012) Chih-Chung Chang et al. ACM Transactions on Intelligent Systems and Technology
- An efficient multi-label support vector machine with a zero label
- (2011) Jianhua Xu EXPERT SYSTEMS WITH APPLICATIONS
- Extreme Learning Machine for Regression and Multiclass Classification
- (2011) Guang-Bin Huang et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- A study on effectiveness of extreme learning machine
- (2011) Yuguang Wang et al. NEUROCOMPUTING
- Human face recognition based on multidimensional PCA and extreme learning machine
- (2011) A.A. Mohammed et al. PATTERN RECOGNITION
- Quantized Kernel Least Mean Square Algorithm
- (2011) Badong Chen et al. IEEE Transactions on Neural Networks and Learning Systems
- Optimization method based extreme learning machine for classification
- (2010) Guang-Bin Huang et al. NEUROCOMPUTING
- Feature selection for multi-label naive Bayes classification
- (2009) Min-Ling Zhang et al. INFORMATION SCIENCES
- Multilabel classification via calibrated label ranking
- (2008) Johannes Fürnkranz et al. MACHINE LEARNING
- A fast pruned-extreme learning machine for classification problem
- (2008) Hai-Jun Rong et al. NEUROCOMPUTING
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