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A Multi-Model Combination Approach for Probabilistic Wind Power Forecasting Journal article
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2019,Volume: 10,Issue: 1,Page: 226-237
Authors:  Lin, You;  Yang, Ming;  Wan, Can;  Wang, Jianhui;  Song, Yonghua
Favorite  |  View/Download:14/0  |  Submit date:2019/01/17
Terms-Multi-model combination  probabilistic forecasting  wind power  uncertainty  
Empirical kernel map-based multilayer extreme learning machines for representation learning Journal article
NEUROCOMPUTING, 2018,Volume: 310,Page: 265-276
Authors:  Chi-Man Vong;  Chen, Chuangquan;  Wong, Pak-Kin
Favorite  |  View/Download:95/0  |  Submit date:2018/10/30
Kernel Learning  Multilayer Extreme Learning Machine (Ml-elm)  Empirical Kernel Map (Ekm)  Representation Learning  Stacked Autoencoder (Sae)  
Shared Autoencoder Gaussian Process Latent Variable Model for Visual Classification Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 9,Page: 4272-4286
Authors:  Li, Jinxing;  Zhang, Bob;  Zhang, David
Favorite  |  View/Download:14/0  |  Submit date:2018/10/30
Autoencoder  discriminative  Gaussian process (GP)  kernel  latent variable model  multiview  
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:16/0  |  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:3/0  |  Submit date:2019/02/11
Coefficient-based regularized regression (CBRR)  learning rate  Markov resampling  uniformly ergodic Markov chain (u.e.M.c.)  
p-Laplacian Regularization for Indoor Scene Recognition Journal article
IEEE Transactions on Cybernetics, 2018,Page: 1 - 14
Authors:  Weifeng Liu;  Xueqi Ma;  Yicong Zhou;  Dapeng Tao;  Jun Cheng
Favorite  |  View/Download:9/0  |  Submit date:2019/03/26
Laplacian Regularization (Lapr)  Manifold Learning  P-laplacian  Scene Recognition  Semi-supervised Learning (Ssl)  
Distribution preserving learning for unsupervised feature selection Journal article
Neurocomputing, 2018,Volume: 289,Page: 231-240
Authors:  Ting Xie;  Pengfei Ren;  Taiping Zhang;  Yuan Yan Tang
Favorite  |  View/Download:28/0  |  Submit date:2018/10/30
Feature Selection  Density Preserving  Kernel Density Estimation  Dimensionality Reduction  Data Mining  
Constrained Manifold Learning for Hyperspectral Imagery Visualization Journal article
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018,Volume: 11,Issue: 4,Page: 1213-1226
Authors:  Danping Liao;  Yuntao Qian;  Yuan Yan Tang
Favorite  |  View/Download:47/0  |  Submit date:2018/10/30
Composite Kernel  Hyperspectral Image  Manifold Learning  Visualization  
Kernel-Based Multilayer Extreme Learning Machines for Representation Learning Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 3,Page: 757-762
Authors:  Wong, Chi Man;  Vong, Chi Man;  Wong, Pak Kin;  Cao, Jiuwen
Favorite  |  View/Download:14/0  |  Submit date:2018/10/30
Kernel Learning  Multilayer Extreme Learning Machine (Ml-elm)  Representation Learning  Stacked Autoencoder (Sae)  
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:12/0  |  Submit date:2018/10/30
Learning theory  Kernel-based regression  Correntropy-induced loss  Sparsity  Learning rate