Dual-manifold regularized regression models for feature selection based on hesitant fuzzy correlation

Feature selection based on regularization of sparsity based regression models by hesitant fuzzy correlation

(2020) Mahla Mokhtia et al.   APPLIED SOFT COMPUTING

Evolving Fuzzy Models for Prosthetic Hand Myoelectric-Based Control

(2020) Radu-Emil Precup et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms, Experimental Analysis, Prospects and Challenges

(2020) Juan Luis Suárez et al.   NEUROCOMPUTING

Regularizing extreme learning machine by dual locally linear embedding manifold learning for training multi-label neural network classifiers

(2020) Mohammad Rezaei-Ravari et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Pairwise dependence-based unsupervised feature selection

(2020) Hyunki Lim et al.   PATTERN RECOGNITION

Intuitionistic fuzzy ridge regression functions

(2019) Busenur Kizilaslan et al.   COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION

Sparse and low-redundant subspace learning-based dual-graph regularized robust feature selection

(2019) Ronghua Shang et al.   KNOWLEDGE-BASED SYSTEMS

Type-2 Fuzzy Envelope of Hesitant Fuzzy Linguistic Term Set: A New Representation Model of Comparative Linguistic Expression

(2019) Yaya Liu et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Elastic Net Oriented to Fuzzy Semiparametric Regression Model With Fuzzy Explanatory Variables and Fuzzy Responses

(2019) Mohammad Ghasem Akbari et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Fuzzy Lasso regression model with exact explanatory variables and fuzzy responses

(2019) Gholamreza Hesamian et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

MuDeRN: Multi-category classification of breast histopathological image using deep residual networks

(2018) Ziba Gandomkar et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Distributed feature selection: A hesitant fuzzy correlation concept for microarray high-dimensional datasets

(2018) Mohammad Kazem Ebrahimpour et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Feature selection based dual-graph sparse non-negative matrix factorization for local discriminative clustering

(2018) Yang Meng et al.   NEUROCOMPUTING

Dual regularized multi-view non-negative matrix factorization for clustering

(2018) Peng Luo et al.   NEUROCOMPUTING

Unsupervised feature selection by regularized matrix factorization

(2018) Miao Qi et al.   NEUROCOMPUTING

Regularized Label Relaxation Linear Regression

(2018) Xiaozhao Fang et al.   IEEE Transactions on Neural Networks and Learning Systems

Multi-view learning overview: Recent progress and new challenges

(2017) Jing Zhao et al.   Information Fusion

The maximum penalty criterion for ridge regression: application to the calibration of the force constant in elastic network models

(2017) Yves Dehouck et al.   Integrative Biology

Correlation Coefficients of Extended Hesitant Fuzzy Sets and Their Applications to Decision Making

(2017) Na Lu et al.   Symmetry-Basel

Characteristic Gene Selection Based on Robust Graph Regularized Non-Negative Matrix Factorization

(2016) Dong Wang et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Subspace learning-based graph regularized feature selection

(2016) Ronghua Shang et al.   KNOWLEDGE-BASED SYSTEMS

Multi-target regression via input space expansion: treating targets as inputs

(2016) Eleftherios Spyromitros-Xioufis et al.   MACHINE LEARNING

Selecting feature subset with sparsity and low redundancy for unsupervised learning

(2015) Jiuqi Han et al.   KNOWLEDGE-BASED SYSTEMS

c060: Extended Inference with Lasso and Elastic-Net Regularized Cox and Generalized Linear Models

(2015) Martin Sill et al.   Journal of Statistical Software

A Review on Multi-Label Learning Algorithms

(2013) Min-Ling Zhang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Ranking Graph Embedding for Learning to Rerank

(2013) Yanwei Pang et al.   IEEE Transactions on Neural Networks and Learning Systems

Correlation coefficients of hesitant fuzzy sets and their applications to clustering analysis

(2012) Na Chen et al.   APPLIED MATHEMATICAL MODELLING

Discriminative Least Squares Regression for Multiclass Classification and Feature Selection

(2012) Shiming Xiang et al.   IEEE Transactions on Neural Networks and Learning Systems

Graph dual regularization non-negative matrix factorization for co-clustering

(2011) Fanhua Shang et al.   PATTERN RECOGNITION

Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power

(2009) Salvador García et al.   INFORMATION SCIENCES

A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

(2009) Amir Beck et al.   SIAM Journal on Imaging Sciences

On the Importance of the Pearson Correlation Coefficient in Noise Reduction

(2008) J. Benesty et al.   IEEE Transactions on Audio Speech and Language Processing