EDITORIAL

Machine learning and intelligence science: IScIDE (C)

  • Lei XU , 1 ,
  • Yanda LI , 2
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  • 1. Department of Computer Science and Engineering, The Chinese Unversity of Hong Kong, Hong Kong, China
  • 2. Department of Automation, Tsinghua University, Beijing 100084, China

Received date: 19 Jan 2012

Published date: 05 Mar 2012

Copyright

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg

Cite this article

Lei XU , Yanda LI . Machine learning and intelligence science: IScIDE (C)[J]. Frontiers of Electrical and Electronic Engineering, 2012 , 7(1) : 1 -4 . DOI: 10.1007/s11460-012-0194-y

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

DOI

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

DOI

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

DOI

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

DOI

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

DOI

6
Yuille A. An information theory perspective on computational vision. Frontiers of Electrical and Electronic Engineering in China, 2010, 5(3): 329-346

DOI

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

DOI

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

DOI

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

DOI

10
Yin H. Advances in adaptive nonlinear manifolds and dimensionality reduction. Frontiers of Electrical and Electronic Engineering in China, 2011, 6(1): 72-85

DOI

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

DOI

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

DOI

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

DOI

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

DOI

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

DOI

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

DOI

17
Zhou Z H. When semi-supervised learning meets ensemble learning. Frontiers of Electrical and Electronic Engineering in China, 2011, 6(1): 6-16

DOI

18
Zhang C S, Wang F. Graph-based semi-supervised learning. Frontiers of Electrical and Electronic Engineering in China, 2011, 6(1): 17-26

DOI

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

DOI

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

DOI

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

DOI

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

DOI

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