欢迎您!
东篱公司
退出
申报数据库
申报指南
立项数据库
成果数据库
期刊论文
会议论文
著 作
专 利
项目获奖数据库
位置:
成果数据库
>
期刊
> 期刊详情页
Globalized and localized matrix-pattern-oriented classification machine, Applied Soft Comp
ISSN号:1568-4946
期刊名称:Applied Soft Computing
时间:2014.12.1
页码:379-390-
相关项目:基于机器嗅觉的生物发酵过程在线检测与分析方法研究
作者:
王 喆|朱昱锦|高大启|郭卫斌|
同期刊论文项目
基于机器嗅觉的生物发酵过程在线检测与分析方法研究
期刊论文 48
会议论文 3
同项目期刊论文
Regularized multi-view learning machine based on response surface technique
Matrixized Learning Machine with Feature-Clustering Interpolation
Reduced multiple empirical kernel learning machine
Globalized and localized canonical correlation analysis with multiple empirical kernel mapping
An Efficient and Effective Multiple Empirical Kernel Learning Based on Random Projection
MPEKDyL: Efficient Multi-Partial Empirical Kernel Dynamic Learning
Improved multi-kernel classification machine with Nystr?m approximation technique
IMAT: matrix learning machine with interpolation mapping
Performance evaluation of multilayer perceptrons for discriminating and quantifying multiple kinds o
Multi-view learning with Universum
Double-fold localized multiple matrixized learning machine
Globalized and Localized Canonical Correlation Analysis with Multiple Empirical Kernel Mapping. Neu
IMAT: matrix learning machine with interpolation mapping
Classification for imbalanced and overlapping classes using outlier detection and sampling technique
Integrated Fisher linear discriminants: An empirical study
A modified kernel clustering method with multiple factors
Cost-sensitive multi-view learning machine
An efficient and effective multiple empirical kernel learning based on random projection
Gravitational fixed radius nearest neighbor for imbalanced problem
Optimization of the n-propanol concentration and feedback control strategy with electronic nose in e
Multiple empirical kernel learning based on local information
Quantitative analysis of different volatile organic compounds using an improved electronic nose
A novel multiple Nystrom-approximating kernel discriminant analysis
Multi-view Learning with the Universum
Globalized and localized matrix-pattern-oriented classification machine
Multiple empirical kernel learning with dynamic pairwise constraints
Fisher线性判别式阈值优化方法研究
Multiple Matrix Learning Machine with Five Aspects of Pattern Information
Matrixized learning machine with modified pairwise constraints
Structural multiple empirical kernel learning
An efficient Kernel-based matrixized least squares support vector machine
Three-fold structured classifier design based on matrix pattern
Resolution of the Gibbs Phenomenon for Fractional Fourier Series
Quality-grade evaluation of petroleum waxes using an electronic nose with a TGS gas sensor array
McMatMHKS: A direct multi-class matrixized learning machine
Multi-kernel classification machine with reduced complexity
Quantitative analysis of multiple kinds of volatile organic compounds using hierarchical models with
Hsher线性判别式阈值优化方法研究