A modified weighted support vector machine (WSVM) to reduce noise data in classification problem

QR Code

A modified weighted support vector machine (WSVM) to reduce noise data in classification problem

Classification refers to a predictive modeling problem where a class label is predicted for a given example of input data. Data is everywhere and the amount of digital data that exists is growing exponentially. However, data is rarely perfect and there are many inconsistencies that affect data qu...

Full description

Bibliographic Details
Main Author:	Mohd Dzulkifli, Syarizul Amri
Format:	Thesis
Language:	English English English
Published:	2021
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.uthm.edu.my/8496/ http://eprints.uthm.edu.my/8496/1/24p%20SYARIZUL%20AMRI%20MOHD%20DZULKIFLI.pdf http://eprints.uthm.edu.my/8496/2/SYARIZUL%20AMRI%20MOHD%20DZULKIFLI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8496/3/SYARIZUL%20AMRI%20MOHD%20DZULKIFLI%20WATERMARK.pdf

Similar Items

Enhancement of new smooth support vector machines for classification problems
by: Santi Wulan, Purnami
Published: (2011)

Machining process classification using PCA reduced histogram features and the support vector machine
by: Ashour, Mohammed Waleed, et al.
Published: (2015)

Multiclass support vector machines for classification of ECG data with missing values
by: Hejazi, Maryamsadat, et al.
Published: (2015)

Fingerprint classification using support vector machine
by: Ho, Kah Weng
Published: (2020)

Hybridization Of Optimized Support Vector Machine And Artificial Neural Network For The Diabetic Retinopathy Classification Problem
by: Kader, Nur Izzati Ab
Published: (2019)

Modified word representation vector based scalar weight for contextual text classification
by: Abbas Saliimi, Lokman
Published: (2024)

Texture classification using wavelet transform and support vector machines
by: Yeo, Alvin Zong Yun
Published: (2011)

Crop classification by a support vector machine with intelligently selected training data for an operational application
by: Mathur, Ajay, et al.
Published: (2008)

Lightning fault classification for transmission line using support vector machine
by: Asman, Saidatul Habsah, et al.
Published: (2023)

Neural networks and support vector machines based bio-activity classification
by: Zeb Shah, Jehan, et al.
Published: (2006)

Integration of spectral information into support vector machine for land cover classification
by: Md. Sap, Mohd. Noor, et al.
Published: (2007)

A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem
by: Mohd Pozi, Muhammad Syafiq
Published: (2016)

An enhanced feature selection and cancer classiﬁcation for microarray data using relaxed Lasso and support vector machine
by: Aina Umairah, Mazlan, et al.
Published: (2021)

A comparison of support vector machine and decision tree classifications using satellite data of Langkawi Island
by: Mohd Shafri, Helmi Zulhaidi, et al.
Published: (2009)

An improved algorithm for iris classification by using support vector machine and binary random machine learning
by: Kamarulzalis, Ahmad Haadzal
Published: (2018)

A new model for iris data set classification based on linear support vector machine parameter's optimization
by: Faiz Hussain, Zahraa, et al.
Published: (2020)

Comparative analysis of support vector machine, maximum likelihood and neural network classification on multispectral remote sensing data
by: Ahmad, Asmala, et al.
Published: (2018)

A relative evaluation of multi-class image classification by support vector machines
by: Foody, Giles M., et al.
Published: (2004)

Waste classification using support vector machine with SIFT-PCA feature extraction
by: Puspaningrum, Adita Putri, et al.
Published: (2020)

The classification of skateboarding tricks: A support vector machine hyperparameter evaluation optimisation
by: Muhammad Ar Rahim, Ibrahim, et al.
Published: (2021)

Rain classification for autonomous vehicle navigation : A support vector machine approach
by: Abdul Haleem, Habeeb Mohamed, et al.
Published: (2020)

Combined support vector machine and pattern matching for hadith question classification system
by: Ali Muttaleb, Hasan, et al.
Published: (2018)

Texture-based classification of workpiece surface images using the support vector machine
by: Ashour, Mohammed Waleed, et al.
Published: (2015)

Banana quality attribute prediction and ripeness classification using support vector machine
by: Adebayo, Segun Emmanuel, et al.
Published: (2017)

Improved support vector machine using multiple SVM-RFE for cancer classification
by: Mohd Hasri, Nurul Nadzirah, et al.
Published: (2017)

Hybrid Entropy Decomposition And Support Vector Machine Method For Image Classification For Crop Fields
by: Tan, Chue Poh
Published: (2007)

Pathway-based analysis with support vector machine (SVM-LASSO) for gene selection and classification
by: Nurul Athirah, Nasrudin, et al.
Published: (2017)

Support vector machine classification to detect land cover changes in Halabja city, Iraq
by: Al-Doski, Jwan M. Mohammed, et al.
Published: (2013)

Pathway-based analysis with Support Vector Machine (SVM-LASSO) for gene selection and classification
by: Nasrudin, Nurul Athirah, et al.
Published: (2017)

Application of slantlet transform based support vector machine for power quality detection and classification
by: Mohd Noh, Faridah Hanim, et al.
Published: (2015)

A hybrid entropy decomposition and support vector machine method for agricultural crop type classification
by: Tan, Chue Poh, et al.
Published: (2007)

Color-based of bird species classification using Support Vector Machine / Nur Amalina Nazery
by: Nazery, Nur Amalina
Published: (2017)

Classification of epilepsy seizure phase using interval type-2 fuzzy support vector machines
by: Ekong, U., et al.
Published: (2016)

Mammogram breast cancer classification using Support Vector Machines (SVM) / Nur Syafiqah Sahrudin
by: Sahrudin, Nur Syafiqah
Published: (2020)

The classification of skateboarding tricks by means of support vector machine: An evaluation of significant time-domain features
by: Muhammad Amirul, Abdullah, et al.
Published: (2020)

Improving sentiment reviews classification performance using support vector machine-fuzzy matching algorithm
by: Nurcahyawati, Vivine, et al.
Published: (2023)

Age classification using Hierarchical Support Vector Machine based on characteristics of upper facial area
by: Dahlan, Hadi Affendy
Published: (2013)

A new classification model for a class imbalanced data set using genetic programming and support vector machines: case study for wilt disease classification
by: Mohd Pozi, Muhammad Syafiq, et al.
Published: (2015)

Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS
by: Tehrany, Mahyat Shafapour, et al.
Published: (2014)

Support Vector Machine For Forecasting Currency Rates
by: Dovdon, Gankhuyag
Published: (2003)