位置：成果数据库 > 期刊 > 期刊详情页
A novel margin based twin support vector machine with unity norm hyperplanes
  • ISSN号：0941-0643
  • 期刊名称：Neural Computing & Applications
  • 时间：2013
  • 页码：1627-1635
  • 相关项目：核矩阵学习的最优化方法及其在生物信息学中的应用
作者： Yuan-Hai Shao|Naiyang Deng|
同期刊论文项目
核矩阵学习的最优化方法及其在生物信息学中的应用
期刊论文 39 会议论文 7 著作 1
同项目期刊论文
Sequence-based protein-protein interaction prediction via support vector machine
Least squares recursive projection twin support vector machine for classification
Proximal parametric-margin support vector classifier and its applications
A Biased Least Squares Support Vector Machine Classifier for Positive and Unlabeled Learning
An Efficient Support Vector Machine Approach for Identifying Protein S-Nitrosylation Sites
两个泛函优化定理的证明
Building SVM Classifier Based on Posterior Probability Using Positive and Unlabeled Examples
Improved generalized eigenvalue proximal support vector machine
Exploring Determinants of Inflation in China Based on L1-Epsilon-Twin Support Vector Regression
Feature Selection Based on Linear Twin Support Vector Machines
The Best Separating Decision Tree Twin Support Vector Machine for Multi-Class Classification
Least squares twin parametric-margin support vector machines for classification
Successive Overrelaxation for Twin Parametric-margin Support Vector Machines
Fast Twin Parametric-Insensitive SVR Using Successive Over-Relaxation
Kernel-based data fusion improves the drug-protein interaction prediction
结合全局和局部正则化的半监督二分类算法
基于局部学习的半监督多标记分类算法
Transductive Multi-Class Classification Based On Local Learning and Adjustable Class Label Represent
Latent factor analysis facilitates modelling of oncogenic genes for colon adenocarcinoma
A Novel Graph-based Approach for Transductive Positive and Unlabeled Learning
A proximal classifier with consistency
A regularization for the projection twin support vector machine
Constructing support vector machine ensemble with segmentation for imbalanced datasets
Improvements on Twin Support Vector Machines
Improved Prediction of Palmitoylation Sites Using PWMs and SVM
mproving accuracy of protein-protein interaction prediction by considering the converse problem for
Support vector machine prediction of enzyme function with conjoint triad feature and hierarchical co
A regression framework incorporating quantitative and negative interaction data improves quantitativ
Proximal Plane Clustering via Eigenvalues
Network-Based Gene Sets Selection Via Network Regularization
局部学习半监督多类分类机
Improving Lap-TSVM with successive overrelaxation and differential evolution
An epsilon-twin support vector machine for regression
基于特征值分解的最大间隔支持向量回归机