Information Theoretic-based Feature Selection for Machine Learning

Information Theoretic-based Feature Selection for Machine Learning

Three major factors that determine the performance of a machine learning are the choice of a representative set of features, choosing a suitable machine learning algorithm and the right selection of the training parameters for a specified machine learning algorithm. This thesis tackles the proble...

Saved in:

书目详细资料
主要作者:	Muhammad Aliyu, Sulaiman
格式:	Thesis
语言:	English English
出版:	2018
主题:	QA75 Electronic computers Computer science
在线阅读:	http://ir.unimas.my/id/eprint/26595/1/Information%20Theoretic-based%20Feature%2024pgs.pdf http://ir.unimas.my/id/eprint/26595/4/Information%20Theoretic-based%20Feature%20ft.pdf
标签:	添加标签没有标签, 成为第一个标记此记录!

相似书籍

Grey relational analysis feature selection for cancer classification using support vector machine
由: Sy. Ahmad Ubaidillah, Sharifah Hafizah
出版: (2014)

EEG-based emotion classification using wavelet based features and support vector machine classifier
由: M. Razali, Normasliza
出版: (2015)

Improved scheme of e-mail spam classification using meta-heuristics feature selection and support vector machine
由: Elssied Hamed, Nadir Omer Fadl
出版: (2015)

Molecular similarity searching based on deep learning for feature reduction
由: Saeed Nasser, Maged Mohammed
出版: (2022)

Spam filtering using bayesian technique based on independent feature selection
由: Mohamad, Masurah
出版: (2006)

Comparative study of feature selection method of microarray data for gene classification
由: Ghazali, Nurulhuda
出版: (2009)

Semantic feature reduction and hybrid feature selection for clustering of Arabic Web pages
由: Alghamdi, Hanan Musafer H.
出版: (2016)

Intelligent web proxy caching based on supervised machine learning
由: Ali Ahmed, Waleed
出版: (2012)

Correlation-based subset evaluation of feature selection for dynamic Malaysian sign language
由: Sutarman, .
出版: (2016)

Feature selection for content-based image retrieval using statistical discriminant analysis
由: Tee, Cheng Siew
出版: (2008)

Multistage feature selection methods for data classification
由: Mohamad, Masurah
出版: (2021)

A Machine Learning Classification Approach To Detect Tls-Based Malware Using Entropy-Based Flow Set Features
由: Keshkeh, Kinan
出版: (2022)

Modelling and implementation business processes using UML state machine for web - based information systems
由: Serenkov, Andrey
出版: (2009)

MalSketch - A machine learning-based malware behaviour analysis framework
由: Chanderan, Navein
出版: (2019)

Integration of feature subset selection methods for sentiment analysis
由: Yousefpour, Alireza
出版: (2019)

Feature selection method of web page language identification
由: Ng, Choon Ching
出版: (2010)

An effective attack scenario construction model based on two-tier feature selection and coarse grain cleaning
由: Mohammed Alhaj, Tagwa Ahmed
出版: (2018)

Hybrid meta-heuristic algorithm based parameter optimization for extreme learning machines classification
由: Alade, Oyekale Abel
出版: (2021)

Hybrid feature selection technique for classification of human activity recognition
由: Yusup, Norfadzlan
出版: (2021)

Gravitational search algorithm for feature selection in intrusion detection system
由: Jabali, Vahid Kaviani
出版: (2013)

Enzyme sub-functional class prediction using multibiological knowledge feature respresentation and twin support vector machine
由: Guramad Singh, Sharon Kaur
出版: (2013)

Cloud usability features to support knowledge transformation in design learning
由: Mohamad, Nur Aziemah
出版: (2019)

Enhancements of E-learning system by using social network features
由: Mahmood, Jamilah
出版: (2013)

Particle Swarm Optimization (PSO) approach for feature selection in sentiment analysis for propaganda issues
由: Muhamad Rodzi, Muhammad Zakwan
出版: (2022)

Feature extraction and selection algorithm for chain code representation of handwritten character
由: Nasien, Dewi
出版: (2012)

Multi local feature selection using genetic algorithm for face identification
由: Chu, Kai Chuan
出版: (2007)

Feature Subset Selection in Intrusion Detection Using Soft Computing Techniques
由: Iftikhar , Ahmad, et al.
出版: (2011)

Supervised machine learning approach for detection of malicious executables
由: Ahmed, Yahye Abukar
出版: (2013)

Prominent features for generation Z learning behaviour in digital society environment
由: Farid, Nazatul Nabila
出版: (2017)

Opinion Mining Using Hybrid Lexicon-Based Approach and Machine Learning Techniques for Political Security Threat
由: Malizan, Nur Atiqah
出版: (2023)

Development of atrial fibrillation detection algorithm based on extracted ECG features and hybrid multilayer perceptron network
由: Mat, Muhamad Hadzren
出版: (2019)

Integrated information gain with extra tree algorithm for feature permission analysis in android malware classification
由: Howida AbuBaker, Al-Kaaf
出版: (2022)

Feature base fusion for splicing forgery detection based on neuro fuzzy
由: Hadigheh, Habib Ghaffari
出版: (2014)

Online signature verification based on dynamic feature discriminators
由: Omar, Nazaruddin
出版: (2009)

Framework of e-portfolio features based on the students requirements
由: Nasab, Samaneh Salaehi
出版: (2011)

Classification of Fake Profiles Features in Facebook using K-Nearest Neighbour (KNN), Neural Network (NN) and Support Vector Machine (SVM)
由: Ahmad Nasir, Ahmad Nazren Hakimi
出版: (2021)

Automated vending machine system
由: Mohammad Ali, Mohd. Hasyim
出版: (2007)

Unionization method for changing opinion in sentiment classification using machine learning
由: Jalilvand, Abbas
出版: (2020)

Centripetal accelerated particle swarm optimization and its applications in machine learning
由: Beheshti, Zahra
出版: (2013)

Prediction Of Petroleum Reservoir Properties Using Nonlinear Feature Selection And Ensembles Of Computational Intelligence Techniques
由: Anifowose, Fatai Adesina
出版: (2015)

Services hosted by the Perpustakaan Sultan Abdul Samad, Universiti Putra Malaysia with Cooperation MySyL Group