A kernel-ensemble bagging support vector machine

A kernel-ensemble bagging support vector machine

This paper proposes a kernel-ensemble bagging SVM classifier for binary class classification. The classifier is advantageous over bagging SVM classifiers because it has a two-phase grid search module, a proposed parameter randomization module and a proposed ranking module. The novel modules enhance...

Saved in:

書目詳細資料
Main Authors:	Suganthan, P. N., Ye, Ren
其他作者:	School of Electrical and Electronic Engineering
格式:	Conference or Workshop Item
語言:	English
出版:	2013
主題:	DRNTU::Engineering::Electrical and electronic engineering
在線閱讀:	https://hdl.handle.net/10356/106266 http://hdl.handle.net/10220/16622 http://dx.doi.org/10.1109/ISDA.2012.6416648
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

相似書籍

Empirical comparison of bagging-based ensemble classifiers
由: Suganthan, P. N., et al.
出版: (2014)

Kernel machines and classifier ensemble learning for biomedical applications
由: Peng, Li
出版: (2008)

Short-term electricity price forecasting with empirical mode decomposition based ensemble Kernel machines
由: Qiu, Xueheng, et al.
出版: (2018)

General twin support vector machine with pinball loss function
由: Tanveer M., et al.
出版: (2021)

Support vector machines for biomedical applications
由: Chaw, Su Khine.
出版: (2008)

Ensemble deep random vector functional link neural network for regression
由: Hu, Minghui, et al.
出版: (2023)

Ensemble differential evolution with dynamic subpopulations and adaptive clearing for solving dynamic optimization problems
由: Suganthan, P. N., et al.
出版: (2013)

An ensemble of decision trees with random vector functional link networks for multi-class classification
由: Katuwal, Rakesh, et al.
出版: (2020)

Performance of Intrusion Detection System Using Bagging Ensemble with SDN-Base Classifier
由: Amarudin, Amarudin, et al.
出版: (2022)

Decomposition-based multiobjective evolutionary algorithm with an ensemble of neighborhood sizes
由: Suganthan, P. N., et al.
出版: (2013)

Gender classification from face images using support vector machine
由: Phyu Phyu Thant.
出版: (2008)

A support vector machine algorithm to extract gait phases from accelerometer data
由: Cheong, Farah
出版: (2018)

Weighting and pruning based ensemble deep random vector functional link network for tabular data classification
由: Shi, Qiushi, et al.
出版: (2023)

The subsea electrical analysis based on support vector machine
由: Sun, Ming Ming.
出版: (2013)

Forex exchange prediction using support vector machine
由: Modi Ayush
出版: (2015)

Random vector functional link neural network based ensemble deep learning
由: Shi, Qiushi, et al.
出版: (2022)

Kernel functions for support vector machines
由: Tanasanee Phienthrakul
出版: (2011)

Kernel functions for support vector machines
由: Tanasanee Phienthrakul
出版: (2008)

Time series classification using diversified Ensemble Deep Random Vector Functional Link and Resnet features
由: Cheng, Wenxin, et al.
出版: (2022)

Ensemble incremental learning Random Vector Functional Link network for short-term electric load forecasting
由: Qiu, Xueheng, et al.
出版: (2020)

Jointly optimized ensemble deep random vector functional link network for semi-supervised classification
由: Shi, Qiushi, et al.
出版: (2022)

Robust training algorithm of neural network and support vector machine for pattern recognition and control
由: Hu, Wenjie.
出版: (2008)

Learning image similarity from Flickr groups using fast kernel machines
由: Wang, Gang, et al.
出版: (2013)

Using support vector machine ensembles for target audience classification on Twitter
由: LO, Siaw Ling, et al.
出版: (2015)

EEG-based pain estimation via fuzzy logic and polynomial kernel support vector machine
由: Pradkij Panavaranan, et al.
出版: (2018)

Adaptive network fuzzy inference system and support vector machine learning for tool wear estimation in high speed milling processes
由: Ge, H., et al.
出版: (2013)

Asymptotic behaviors of support vector machines with gaussian kernel
由: Keerthi, S.S., et al.
出版: (2014)

An air balancing method using support vector machine for a ventilation system
由: Jing, Gang, et al.
出版: (2020)

Ensemble strategies for population-based optimization algorithms – a survey
由: Wu, Guohua, et al.
出版: (2021)

Oblique decision tree ensemble via twin bounded SVM
由: Ganaie, M. A., et al.
出版: (2022)

Development of an ensemble of extreme learning machines for 3D medical object segmentation and classification
由: Tan, Zu Ming.
出版: (2012)

Combining Support Vector Machine - Fast Fourier Transform (SVM - FFT) for Improving Accuracy on Broken Bearing Diagnosis
由: Harlianto, Pramudyana Agus, et al.
出版: (2022)

Group-based Relevance Feedback with Support Vector Machine Ensembles
由: HOI, Steven C. H., et al.
出版: (2004)

Land cover classification based on SAR and optical images using ensemble machine learning
由: Tian, Gege
出版: (2022)

Ensemble deep random vector functional link neural net for imbalanced datasets
由: Soo, Jian Xian
出版: (2022)

A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition
由: Li, Ruilin, et al.
出版: (2023)

Network ensemble and constructive algorithms for model selection of extreme learning machine
由: Lan, Yuan
出版: (2011)

Ensemble of differential evolution variants
由: Wu, Guohua, et al.
出版: (2020)

A novel ensemble algorithm for tumor classification
由: Sun, Zhan-Li, et al.
出版: (2013)

Compactly supported basis functions as support vector kernels for classification
由: Wittek, P., et al.
出版: (2013)