Cargando…

Efficient Feature Selection and Multiclass Classification with Integrated Instance and Model Based Learning

Multiclass classification and feature (variable) selections are commonly encountered in many biological and medical applications. However, extending binary classification approaches to multiclass problems is not trivial. Instance-based methods such as the K nearest neighbor (KNN) can naturally exten...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liu, Zhenqiu, Bensmail, Halima, Tan, Ming
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Libertas Academica 2012
Materias:	Methodology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3347893/ https://www.ncbi.nlm.nih.gov/pubmed/22577297 http://dx.doi.org/10.4137/EBO.S9407

Ejemplares similares

Regularized F-Measure Maximization for Feature Selection and Classification
por: Liu, Zhenqiu, et al.
Publicado: (2009)

Instance-based concept learning from multiclass DNA microarray data
por: Berrar, Daniel, et al.
Publicado: (2006)

Deep Learning-Based Multiclass Instance Segmentation for Dental Lesion Detection
por: Fatima, Anum, et al.
Publicado: (2023)

Gene Expression Data Classification With Kernel Principal Component Analysis
por: Liu, Zhenqiu, et al.
Publicado: (2005)

Multiclass classification of microarray data samples with a reduced number of genes
por: Tapia, Elizabeth, et al.
Publicado: (2011)

Stable feature selection and classification algorithms for multiclass microarray data
por: Student, Sebastian, et al.
Publicado: (2012)

Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass gene expression data
por: Ooi, Chia Huey, et al.
Publicado: (2006)

Multiclass Informative Instance Transfer Learning Framework for Motor Imagery-Based Brain-Computer Interface
por: Hossain, Ibrahim, et al.
Publicado: (2018)

Sparse generalized linear model with L(0) approximation for feature selection and prediction with big omics data
por: Liu, Zhenqiu, et al.
Publicado: (2017)

Iterative ensemble feature selection for multiclass classification of imbalanced microarray data
por: Yang, Junshan, et al.
Publicado: (2016)

Multiclass Skin Lesion Classification Using Hybrid Deep Features Selection and Extreme Learning Machine
por: Afza, Farhat, et al.
Publicado: (2022)

Multiclass Classification of Cardiac Arrhythmia Using Improved Feature Selection and SVM Invariants
por: Mustaqeem, Anam, et al.
Publicado: (2018)

SESNet: sequence-structure feature-integrated deep learning method for data-efficient protein engineering
por: Li, Mingchen, et al.
Publicado: (2023)

Drug activity prediction using multiple-instance learning via joint instance and feature selection
por: Zhao, Zhendong, et al.
Publicado: (2013)

Improving machine learning reproducibility in genetic association studies with proportional instance cross validation (PICV)
por: Piette, Elizabeth R., et al.
Publicado: (2018)

Nanopore basecalling from a perspective of instance segmentation
por: Zhang, Yao-zhong, et al.
Publicado: (2020)

miRFam: an effective automatic miRNA classification method based on n-grams and a multiclass SVM
por: Ding, Jiandong, et al.
Publicado: (2011)

Enhanced HMAX model with feedforward feature learning for multiclass categorization
por: Li, Yinlin, et al.
Publicado: (2015)

A Jackknife and Voting Classifier Approach to Feature Selection and Classification
por: Taylor, Sandra L., et al.
Publicado: (2011)

Computer-Aided Multiclass Classification of Corn from Corn Images Integrating Deep Feature Extraction
por: Kishore, Bhamidipati, et al.
Publicado: (2022)

Localized instance fusion of MRI data of Alzheimer’s disease for classification based on instance transfer ensemble learning
por: Tan, Xiaoheng, et al.
Publicado: (2018)

An application of machine learning with feature selection to improve diagnosis and classification of neurodegenerative disorders
por: Álvarez, Josefa Díaz, et al.
Publicado: (2019)

Multiple graph regularized protein domain ranking
por: Wang, Jim Jing-Yan, et al.
Publicado: (2012)

A generalised approach for high-throughput instance segmentation of stomata in microscope images
por: Jayakody, Hiranya, et al.
Publicado: (2021)

Novel Meta-Learning Techniques for the Multiclass Image Classification Problem
por: Vogiatzis, Antonios, et al.
Publicado: (2022)

Optimal combination of feature selection and classification via local hyperplane based learning strategy
por: Cheng, Xiaoping, et al.
Publicado: (2015)

A Multiclass Classification Model for Tooth Removal Procedures
por: de Graaf, W.M., et al.
Publicado: (2022)

Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization
por: Khan, Muhammad Attique, et al.
Publicado: (2021)

Multiclass feature selection with metaheuristic optimization algorithms: a review
por: Akinola, Olatunji O., et al.
Publicado: (2022)

Integrating and optimizing genomic, weather, and secondary trait data for multiclass classification
por: Manthena, Vamsi, et al.
Publicado: (2023)

Detection of statistically significant network changes in complex biological networks
por: Mall, Raghvendra, et al.
Publicado: (2017)

Classification of Multiclass Histopathological Breast Images Using Residual Deep Learning
por: Eltoukhy, Mohamed Meselhy, et al.
Publicado: (2022)

Ensemble Learning of Multiple Models Using Deep Learning for Multiclass Classification of Ultrasound Images of Hepatic Masses
por: Nakata, Norio, et al.
Publicado: (2023)

Multiclass Classification Based on Combined Motor Imageries
por: Lindig-León, Cecilia, et al.
Publicado: (2020)

Multiclass EEG signal classification utilizing Rényi min-entropy-based feature selection from wavelet packet transformation
por: Rahman, Md. Asadur, et al.
Publicado: (2020)

Feature selection and survival modeling in The Cancer Genome Atlas
por: Kim, Hyunsoo, et al.
Publicado: (2013)

Cross-validation pitfalls when selecting and assessing regression and classification models
por: Krstajic, Damjan, et al.
Publicado: (2014)

Drug response prediction using graph representation learning and Laplacian feature selection
por: Xie, Minzhu, et al.
Publicado: (2022)

Cost-Constrained feature selection in binary classification: adaptations for greedy forward selection and genetic algorithms
por: Jagdhuber, Rudolf, et al.
Publicado: (2020)

Multiclass classification for skin cancer profiling based on the integration of heterogeneous gene expression series
por: Gálvez, Juan Manuel, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_lq6ddh0rc3qecg2vj0okr1pl6p