IntechOpen Book Series > Artificial Intelligence > Machine Learning and Data Mining

Research Topic

Machine Learning and Data Mining

PART OF IntechOpen Book Series: Artificial Intelligence

ISSN 2633-1403

Research Topic on Machine Learning and Data Mining - always open for submissions, with an Annual Volume published each calendar year with a dedicated ISSN and ISBN.

Led by Topic Editor Dr. Marco Antonio Aceves-Fernández and an international Editorial Board, all submissions are peer-reviewed and published immediately after acceptance.

always open for submissions

Open Access Peer-reviewed Research

Transfer Learning for Non-Invasive BCI EEG Brainwave Decoding

Xiaoxi Wei

DOI: 10.5772/intechopen.115124

Part Of Topic: Machine Learning and Data Mining

Part of the book: Transfer Learning - Leveraging the Capability of Pre-trained Models Across Different Domains [Working Title]

Open Access Peer-reviewed Research

Perspective Chapter: Lattice Function-Based Support Vector Machine for Shape-Constrained Classificat...

Geng Deng, Yaoguo Xie, Qiang Fu and Xindong Wang

DOI: 10.5772/intechopen.1005541

Part Of Topic: Machine Learning and Data Mining

Part of the book: Support Vector Machines - Algorithms, Optimizations, and Real-World Applications [Working Title]

Open Access Peer-reviewed Research

Quantum Machine Learning Classifier and Neural Network Transfer Learning

Pauline Mosley and Avery Leider

DOI: 10.5772/intechopen.115051

Part Of Topic: Machine Learning and Data Mining

Part of the book: Transfer Learning - Leveraging the Capability of Pre-trained Models Across Different Domains [Working Title]

Open Access Peer-reviewed Research

Inferring Food Preferences and Dietary Structures of the Americans with Transfer Learning

Yihan Chen and Lin Jiang and Zhen Tan

DOI: 10.5772/intechopen.114931

Part Of Topic: Machine Learning and Data Mining

Part of the book: Transfer Learning - Leveraging the Capability of Pre-trained Models Across Different Domains [Working Title]

Open Access Peer-reviewed Research

Use of Data Mining Algorithms in Chicken Breeding: A Systematic Review

Thobela Louis Tyasi, Mathapo Cyril, Mokoena Kwena, Hlokoe Victoria and Molabe Kagisho

DOI: 10.5772/intechopen.1004389

Part Of Topic: Machine Learning and Data Mining

Part of the book: Association Rule Mining and Data Mining - Recent Advances, New Perspectives and Applications [Working Title]

Open Access Peer-reviewed Research

Transfer Learning and Domain Adaptation in Telecommunications

Konstantinos Vandikas, Farnaz Moradi and Hannes Larsson and Andreas Johnsson

DOI: 10.5772/intechopen.114932

Part Of Topic: Machine Learning and Data Mining

Part of the book: Transfer Learning - Leveraging the Capability of Pre-trained Models Across Different Domains [Working Title]

Open Access Peer-reviewed Research

Comparison of MARS, CART, and Linear Regression Models for Prediction of Body Weight of Non-descript...

Thobela Louis Tyasi, Mathapo Cyril, Mokoena Kwena, Hlokoe Victoria and Molabe Kagisho

DOI: 10.5772/intechopen.1004388

Part Of Topic: Machine Learning and Data Mining

Part of the book: Association Rule Mining and Data Mining - Recent Advances, New Perspectives and Applications [Working Title]

Open Access Peer-reviewed Research

Automated Data-Driven and Stochastic Imputation Method

Or Peretz and Michal Koren

DOI: 10.5772/intechopen.1004160

Part Of Topic: Machine Learning and Data Mining

Part of the book: Association Rule Mining and Data Mining - Recent Advances, New Perspectives and Applications [Working Title]