Discriminant analysis in pairwise kernel learning for SVM classification

Discriminant analysis in pairwise kernel learning for SVM classification

10.1504/IJBRA.2012.048963

Saved in:

Bibliographic Details
Main Authors:	Jiang, H., Ching, W.-K., Chu, D.
Other Authors:	MATHEMATICS
Format:	Article
Published:	2014
Subjects:	Classification Discriminant analysis Kernel learning Support vector machine SVM
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/103142
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore

Similar Items

SVM compound kernel functions for vehicle target classification
by: Roxas, Edison A., et al.
Published: (2018)

Generating an SVM Kernel function using genetic algorithm
by: IMMER, BALDOS
Published: (2012)

Text classification with kernels on the multinomial manifold
by: Zhang, D., et al.
Published: (2014)

Improved kernel methods for classification
by: DUAN KAIBO
Published: (2010)

Question Classification using Support Vector Machines
by: Zhang, D., et al.
Published: (2013)

On strategies for imbalanced text classification using SVM: A comparative study
by: SUN, Aixin, et al.
Published: (2009)

Splice Site Prediction Using Support Vector Machines with a Bayes Kernel
by: ZHANG, Ya, et al.
Published: (2006)

Compactly supported basis functions as support vector kernels: Capturing feature interdependence in the embedding space
by: PETER WITTEK
Published: (2010)

Robust regularized Kernel regression
by: ZHU, Jianke, et al.
Published: (2008)

Using discrete probabilities with bhattacharyya measure for SVM-Based speaker verification
by: Lee, K.A., et al.
Published: (2013)

Learning the unified Kernel machines for classification
by: HOI, Steven C. H., et al.
Published: (2006)

Kernel methods for the incorporation of prior-knowledge into support vector machines
by: VEILLARD ANTOINE PAUL MITSUMASA
Published: (2013)

A new method on gene selection for tissue classification
by: Hao, Y., et al.
Published: (2014)

SVM-based dynamic modeling for machine life stage identification and machine wear estimation
by: Zhou, J.-H., et al.
Published: (2014)

The real time classification of vehicle by combination of GA, PCA and improved SVM
by: Zhang, C., et al.
Published: (2014)

Adaptive Kernel Value Caching for SVM Training
by: Li, Qinbin, et al.
Published: (2022)

Incorporating prior-knowledge in support vector machines by kernel adaptation
by: Veillard, A., et al.
Published: (2013)

Scalable online kernel learning
by: LU, Jing
Published: (2017)

Publicly verifiable and secure SVM classification for cloud-based health monitoring services
by: LEI, Dian, et al.
Published: (2024)

The research of vehicle classification using SVM and KNN in a ramp
by: Zhang, C., et al.
Published: (2014)

A hybrid SOM-SVM approach for the zebrafish gene expression analysis
by: Wu, W., et al.
Published: (2013)

Gene selection and tissue classification with microarray data
by: HAO YING
Published: (2010)

An improved conjugate gradient scheme to the solution of least squares SVM
by: Chu, W., et al.
Published: (2014)

Face Annotation using Transductive Kernel Fisher Discriminant
by: ZHU, Jianke, et al.
Published: (2008)

Vehicle classification method using compound kernel functions
by: Roxas, Edison A., et al.
Published: (2018)

An improved algorithm for the solution of the regularization path of support vector machine
by: Ong, C.-J., et al.
Published: (2014)

EEG-based mental fatigue measurement using multi-class support vector machines with confidence estimate
by: Shen, K.-Q., et al.
Published: (2011)

Feature selection and classification via a GA-SVM hybrid
by: Teoh, E.-J., et al.
Published: (2014)

Prediction of antifungal activity with support vector machine
by: Li, Z.-R., et al.
Published: (2014)

Online Multiple Kernel Classification
by: HOI, Steven C. H., et al.
Published: (2013)

In silico prediction and screening of γ-secretase inhibitors by molecular descriptors and machine learning methods
by: Yang, X.-G., et al.
Published: (2014)

Classification of ENT tissue using near-infrared Raman spectroscopy and support vector machines
by: Widjaja, E., et al.
Published: (2014)

Simple tiered classifiers
by: Hall, P., et al.
Published: (2014)

Prediction of estrogen receptor agonists and characterization of associated molecular descriptors by statistical learning methods
by: Li, H., et al.
Published: (2014)

Semi-supervised SVM batch mode active learning for image retrieval
by: HOI, Steven, et al.
Published: (2008)

Large scale kernel methods for online AUC maximization
by: DING, Yi, et al.
Published: (2017)

Double Updating Online Learning
by: ZHAO, Peilin, et al.
Published: (2011)

Prediction of relatedness in stack overflow: Deep learning vs. SVM: A reproducibility study
by: XU, Bowen, et al.
Published: (2018)

A robust method for generating discriminative gene clusters
by: Xu, M., et al.
Published: (2014)

ELM embedded discriminative dictionary learning for image classification
by: Zeng, Yijie, et al.
Published: (2022)