An efficient model selection for linear discriminant function-based recursive feature elimination

Auto-HMM-LMF: feature selection based method for prediction of drug response via autoencoder and hidden Markov model

(2021) Akram Emdadi et al.   BMC BIOINFORMATICS

Random compact Gaussian kernel: Application to ELM classification and regression

(2021) Xiaojian Ding et al.   KNOWLEDGE-BASED SYSTEMS

Impact of feature selection methods and subgroup factors on prognostic analysis with CT-based radiomics in non-small cell lung cancer patients

(2021) Yuto Sugai et al.   Radiation Oncology

An efficient alpha seeding method for optimized extreme learning machine-based feature selection algorithm

(2021) Xiaojian Ding et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A predictor-corrector affine scaling method to train optimized extreme learning machine

(2021) Xiaojian Ding et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Random radial basis function kernel-based support vector machine

(2021) Xiaojian Ding et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

A Novel Recursive Gene Selection Method Based on Least Square Kernel Extreme Learning Machine

(2021) Xiaojian Ding et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

hPSD: A Hybrid PU-Learning-Based Spammer Detection Model for Product Reviews

(2018) Zhiang Wu et al.   IEEE Transactions on Cybernetics

Fast and Scalable Feature Selection for Gene Expression Data Using Hilbert-Schmidt Independence Criterion

(2017) Mehrdad J. Gangeh et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Granularity selection for cross-validation of SVM

(2017) Yong Liu et al.   INFORMATION SCIENCES

Empirical comparison of cross-validation and internal metrics for tuning SVM hyperparameters

(2017) Edson Duarte et al.   PATTERN RECOGNITION LETTERS

Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection

(2016) Jun Chin Ang et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Integrative analysis of mutational and transcriptional profiles reveals driver mutations of metastatic breast cancers

(2016) Ji-Hyun Lee et al.   Cell Discovery

Improving PLS–RFE based gene selection for microarray data classification

(2015) Aiguo Wang et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A Decision Support Framework for Genomically Informed Investigational Cancer Therapy

(2015) Funda Meric-Bernstam et al.   JNCI-Journal of the National Cancer Institute

A Decision Support Framework for Genomically Informed Investigational Cancer Therapy

(2015) Funda Meric-Bernstam et al.   JNCI-Journal of the National Cancer Institute

A chaos embedded GSA-SVM hybrid system for classification

(2014) Chaoshun Li et al.   NEURAL COMPUTING & APPLICATIONS

A PSO and pattern search based memetic algorithm for SVMs parameters optimization

(2013) Yukun Bao et al.   NEUROCOMPUTING

MuSiC: Identifying mutational significance in cancer genomes

(2012) N. D. Dees et al.   GENOME RESEARCH

Model selection for primal SVM

(2011) Gregory Moore et al.   MACHINE LEARNING

Analysis of the Distance Between Two Classes for Tuning SVM Hyperparameters

(2010) Jiancheng Sun et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Robust Feature Selection for Microarray Data Based on Multicriterion Fusion

(2010) Feng Yang et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

A Novel hybrid genetic algorithm for kernel function and parameter optimization in support vector regression

(2008) Chih-Hung Wu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Multiclass SVM-RFE for product form feature selection

(2007) M SHIEH et al.   EXPERT SYSTEMS WITH APPLICATIONS