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Machine learning algorithms

DNABP: Identification of DNA-Binding Proteins Based on Feature Selection Using a Random Forest and Predicting Binding Residues

Xin Ma, Jing Guo, Xiao Sun

A Personalized Electronic Movie Recommendation System Based on Support Vector Machine and Improved Particle Swarm Optimization

Xibin Wang, Fengji Luo, Ying Qian, Gianluca Ranzi

Quantifying Risk for Anxiety Disorders in Preschool Children: A Machine Learning Approach

Kimberly L. H. Carpenter, Pablo Sprechmann, [ ... ], Helen L. Egger

Applications of Spectral Gradient Algorithm for Solving Matrix ℓ_2,1-Norm Minimization Problems in Machine Learning

Yunhai Xiao, Qiuyu Wang, Lihong Liu

Analysis of Web Spam for Non-English Content: Toward More Effective Language-Based Classifiers

Mansour Alsaleh, Abdulrahman Alarifi

Determining Fuzzy Membership for Sentiment Classification: A Three-Layer Sentiment Propagation Model

Chuanjun Zhao, Suge Wang, Deyu Li

Identification of Genes Discriminating Multiple Sclerosis Patients from Controls by Adapting a Pathway Analysis Method

Lei Zhang, Linlin Wang, Pu Tian, Suyan Tian

A New Soft Computing Method for K-Harmonic Means Clustering

Wei-Chang Yeh, Yunzhi Jiang, Yee-Fen Chen, Zhe Chen

An Improved Ensemble of Random Vector Functional Link Networks Based on Particle Swarm Optimization with Double Optimization Strategy

Qing-Hua Ling, Yu-Qing Song, [ ... ], De-Shuang Huang

Universal Feature Extraction for Traffic Identification of the Target Category

Jian Shen, Jingbo Xia, [ ... ], Kai Fu

Comparing Machine Learning Classifiers and Linear/Logistic Regression to Explore the Relationship between Hand Dimensions and Demographic Characteristics

Oscar Miguel-Hurtado, Richard Guest, [ ... ], Sue Black

Data Driven Estimation of Imputation Error—A Strategy for Imputation with a Reject Option

Nikolaj Bak, Lars K. Hansen

Bayesian Correlation Analysis for Sequence Count Data

Daniel Sánchez-Taltavull, Parameswaran Ramachandran, Nelson Lau, Theodore J. Perkins

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