标题
Robust energy-based least squares twin support vector machines
作者
关键词
Machine learning, Support vector machines, Twin support vector machines, Least squares twin support vector machines
出版物
APPLIED INTELLIGENCE
Volume 45, Issue 1, Pages 174-186
出版商
Springer Nature
发表日期
2016-02-04
DOI
10.1007/s10489-015-0751-1
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。- One norm linear programming support vector regression
- (2016) Mohammad Tanveer et al. NEUROCOMPUTING
- Weighted linear loss twin support vector machine for large-scale classification
- (2015) Yuan-Hai Shao et al. KNOWLEDGE-BASED SYSTEMS
- Weighted least squares projection twin support vector machines with local information
- (2015) Xiaopeng Hua et al. NEUROCOMPUTING
- Sparse least square twin support vector machine with adaptive norm
- (2014) Zhiqiang Zhang et al. APPLIED INTELLIGENCE
- Application of smoothing techniques for linear programming twin support vector machines
- (2014) M. Tanveer KNOWLEDGE AND INFORMATION SYSTEMS
- Non-parallel support vector classifiers with different loss functions
- (2014) Siamak Mehrkanoon et al. NEUROCOMPUTING
- Energy-based model of least squares twin Support Vector Machines for human action recognition
- (2014) Jalal A. Nasiri et al. SIGNAL PROCESSING
- Robust and Sparse Linear Programming Twin Support Vector Machines
- (2014) M. Tanveer Cognitive Computation
- Large-scale linear nonparallel support vector machine solver
- (2013) Yingjie Tian et al. NEURAL NETWORKS
- On Lagrangian twin support vector regression
- (2012) S. Balasundaram et al. NEURAL COMPUTING & APPLICATIONS
- Improvements on Twin Support Vector Machines
- (2011) Yuan-Hai Shao et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- Least squares recursive projection twin support vector machine for classification
- (2011) Yuan-Hai Shao et al. PATTERN RECOGNITION
- Knowledge based Least Squares Twin support vector machines
- (2010) M. Arun Kumar et al. INFORMATION SCIENCES
- Least squares twin support vector machine classification via maximum one-class within class variance
- (2010) Qiaolin Ye et al. OPTIMIZATION METHODS & SOFTWARE
- TSVR: An efficient Twin Support Vector Machine for regression
- (2009) Xinjun Peng NEURAL NETWORKS
- Least squares twin support vector machines for pattern classification
- (2008) M. Arun Kumar et al. EXPERT SYSTEMS WITH APPLICATIONS
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