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An Improved Artificial Bee Colony Algorithm with its Application Journal article
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019,Volume: 15,Issue: 4,Page: 1853--1865
Authors:  Gao, Hao;  Shi, Yujiao;  Pun, Chi-Man;  Kwong, Sam
Favorite  |  View/Download:48/0  |  Submit date:2019/05/21
Artificial Bee Colony  Convergence Speed  Global Search  Infinite Impulse Response System  Metallographic Images Segmentation  Otsu Method  
An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction Journal article
Molecular Pharmaceutics, 2019,Volume: 16,Issue: 2,Page: 533-541
Authors:  Ye Z.;  Yang Y.;  Li X.;  Cao D.;  Ouyang D.
Favorite  |  View/Download:14/0  |  Submit date:2019/02/14
Adme  Deep Learning  Multitask Learning  Pharmacokinetic Parameters  Transfer Learning  
Sources of individual differences in young Chinese children's reading and mathematics skill: A longitudinal study Journal article
Journal of School Psychology, 2018,Volume: 71,Page: 122-137
Authors:  Zhang,Xiao;  Hu,Bi Ying;  Ren,Lixin;  Fan,Xitao
Favorite  |  View/Download:5/0  |  Submit date:2019/08/07
Approaches to learning  Chinese children  Mathematics  Problem behavior  Reading  Receptive vocabulary  Self-regulation  
Sources of individual differences in young Chinese children's reading and mathematics skill: A longitudinal study Journal article
JOURNAL OF SCHOOL PSYCHOLOGY, 2018,Volume: 71,Page: 122-137
Authors:  Zhang, Xiao;  Hu, Bi Ying;  Ren, Lixin;  Fan, Xitao
Favorite  |  View/Download:4/0  |  Submit date:2019/01/17
Reading  Mathematics  Receptive vocabulary  Problem behavior  Self-regulation  Approaches to learning  Chinese children  
Optimized Multi-Agent Formation Control Based on an Identifier-Actor--Critic Reinforcement Learning Algorithm Journal article
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018,Volume: 26,Issue: 5,Page: 2719-2731
Authors:  Wen, Guoxing;  Chen, C. L. Philip;  Feng, Jun;  Zhou, Ning
View  |  Adobe PDF(984Kb)  |  Favorite  |  View/Download:552/41  |  Submit date:2018/10/30
Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)  
Multi-stage optimization of a deep model: A case study on ground motion modeling Journal article
PLOS ONE, 2018,Volume: 13,Issue: 9
Authors:  Tahmassebi, Amirhessam;  Gandomi, Amir H.;  Fong, Simon;  Meyer-Baese, Anke;  Foo, Simon Y.
Favorite  |  View/Download:13/0  |  Submit date:2018/10/30
Learning With Coefficient-Based Regularized Regression on Markov Resampling Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 9,Page: 4166-4176
Authors:  Li, Luoqing;  Li, Weifu;  Zou, Bin;  Wang, Yulong;  Tang, Yuan Yan;  Han, Hua
Favorite  |  View/Download:15/0  |  Submit date:2018/10/30
Coefficient-based regularized regression (CBRR)  learning rate  Markov resampling  uniformly ergodic Markov chain (u.e.M.c.)  
Learning with Coefficient-Based Regularized Regression on Markov Resampling Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2018,Volume: 29,Issue: 9,Page: 4166-4176
Authors:  Li L.;  Li W.;  Zou B.;  Wang Y.;  Tang Y.Y.;  Han H.
Favorite  |  View/Download:2/0  |  Submit date:2019/02/11
Coefficient-based regularized regression (CBRR)  learning rate  Markov resampling  uniformly ergodic Markov chain (u.e.M.c.)  
Tackling class overlap and imbalance problems in software defect prediction Journal article
SOFTWARE QUALITY JOURNAL, 2018,Volume: 26,Issue: 1,Page: 97-125
Authors:  Chen, Lin;  Fang, Bin;  Shang, Zhaowei;  Tang, Yuanyan
Favorite  |  View/Download:10/0  |  Submit date:2018/10/30
Software Defect Prediction  Class Imbalance  Class Overlap  Machine Learning  
Kernel-based sparse regression with the correntropy-induced loss Journal article
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS, 2018,Volume: 44,Issue: 1,Page: 144-164
Authors:  Chen, Hong;  Wang, Yulong
Favorite  |  View/Download:10/0  |  Submit date:2018/10/30
Learning theory  Kernel-based regression  Correntropy-induced loss  Sparsity  Learning rate