Machine learning and intelligence science: IScIDE (C)
Lei XU, Yanda LI
Machine learning and intelligence science: IScIDE (C)
[1] |
Xu L, Li Y D. Machine learning and intelligence science: Sino-foreign interchange workshop IScIDE2010 (A). Frontiers of Electrical and Electronic Engineering in China, 2011, 6(1): 1-5
CrossRef
Google scholar
|
[2] |
Wang P H, Shi L, Du L, Liu H W, Xu L, Bao Z. Radar HRRP statistical recognition with temporal factor analysis by automatic Bayesian Ying-Yang harmony learning. Frontiers of Electrical and Electronic Engineering in China, 2011, 6(2): 300-317
CrossRef
Google scholar
|
[3] |
Mu C X, Sun C Y. Data-based intelligent modeling and control for nonlinear systems. Frontiers of Electrical and Electronic Engineering in China, 2011, 6(2): 291-299
CrossRef
Google scholar
|
[4] |
Ye C, Liu L X, Wang X, Zhang X G. Observations on potential novel transcripts from RNA-Seq data. Frontiers of Electrical and Electronic Engineering in China, 2011, 6(2): 275-282
CrossRef
Google scholar
|
[5] |
Hu D W, Zhou Z T, Wang Z Z. Processing real-world imagery with FACADE-based approaches. Frontiers of Electrical and Electronic Engineering in China, 2011, 6(1): 120-136
CrossRef
Google scholar
|
[6] |
Yuille A. An information theory perspective on computational vision. Frontiers of Electrical and Electronic Engineering in China, 2010, 5(3): 329-346
CrossRef
Google scholar
|
[7] |
Zhou L, Hu D W, Zhou Z T, Zhuang Z W. Natural scene recognition using weighted histograms of gradient orientation descriptor. Frontiers of Electrical and Electronic Engineering in China, 2011, 6(2): 318-327
CrossRef
Google scholar
|
[8] |
Pang Z H, Tu S K, Su D, Wu X H, Xu L. Discriminative training of GMM-HMM acoustic model by RPCL learning. Frontiers of Electrical and Electronic Engineering in China, 2011, 6(2): 283-290
CrossRef
Google scholar
|
[9] |
Xu L. Independent subspaces. In: Ram´on J, Dopico R, Dorado J, Pazos A, eds. Encyclopedia of Artificial Intelligence. Hershey, PA: IGI Global, 2008, 903-912
CrossRef
Google scholar
|
[10] |
Yin H. Advances in adaptive nonlinear manifolds and dimensionality reduction. Frontiers of Electrical and Electronic Engineering in China, 2011, 6(1): 72-85
CrossRef
Google scholar
|
[11] |
He X F, Lin B B. Tangent space learning and generalization. Frontiers of Electrical and Electronic Engineering in China, 2011, 6(1): 27-42
CrossRef
Google scholar
|
[12] |
Yang J. Kernel feature extraction methods observed from the viewpoint of generating-kernels. Frontiers of Electrical and Electronic Engineering in China, 2011, 6(1): 43-55
CrossRef
Google scholar
|
[13] |
Xu L. Codimensional matrix pairing perspective of BYY harmony learning: Hierarchy of bilinear systems, joint decomposition of data-covariance, and applications of network biology. Frontiers of Electrical and Electronic Engineering in China, 2011, 6(1): 86-119
CrossRef
Google scholar
|
[14] |
Tu S K, Xu L. Parameterizations make different model selections: Empirical findings from factor analysis. Frontiers of Electrical and Electronic Engineering in China, 2011, 6(2): 256-274
CrossRef
Google scholar
|
[15] |
Tu S K, Xu L. An investigation of several typical model selection criteria for detecting the number of signals. Frontiers of Electrical and Electronic Engineering in China, 2011, 6(2): 245-255
CrossRef
Google scholar
|
[16] |
Zhang L J, Chen Z G, Zheng M, He X F. Robust non-negative matrix factorization. Frontiers of Electrical and Electronic Engineering in China, 2011, 6(2): 192-200
CrossRef
Google scholar
|
[17] |
Zhou Z H. When semi-supervised learning meets ensemble learning. Frontiers of Electrical and Electronic Engineering in China, 2011, 6(1): 6-16
CrossRef
Google scholar
|
[18] |
Zhang C S, Wang F. Graph-based semi-supervised learning. Frontiers of Electrical and Electronic Engineering in China, 2011, 6(1): 17-26
CrossRef
Google scholar
|
[19] |
Lu B L, Wang X L, Yang Y, Zhao H. Learning from imbalanced data sets with a Min-Max modular support vector machine. Frontiers of Electrical and Electronic Engineering in China, 2011, 6(1): 56-71
CrossRef
Google scholar
|
[20] |
Xu L, Amari S. Combining classifiers and learning mixture-of-experts. In: Dopico J R R, Dorado J, Pazos A, eds. Encyclopedia of Artificial Intelligence. 2009, 318-326
|
[21] |
Xu L. Bayesian Ying-Yang system, best harmony learning, and five action circling. Frontiers of Electrical and Electronic Engineering in China, 2010, 5(3): 281-328
CrossRef
Google scholar
|
[22] |
Liao L, Zhang Y N. MRI image segmentation based on fast kernel clustering analysis. Frontiers of Electrical and Electronic Engineering in China, 2011, 6(2): 363-373
CrossRef
Google scholar
|
[23] |
Shi L, Tu S K, Xu L. Learning Gaussian mixture with automatic model selection: A comparative study on three Bayesian related approaches. Frontiers of Electrical and Electronic Engineering in China, 2011, 6(2): 215-244
CrossRef
Google scholar
|
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