Vol. 63, No. 11, 2020 Cover Contents

Special Focus on Multi-source Information Fusion
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Uncertainty measure in evidence theory
Deng Y
Sci China Inf Sci, 2020, 63(11): 210201
Cite as: Deng Y. Uncertainty measure in evidence theory. Sci China Inf Sci, 2020, 63(11): 210201, doi: 10.1007/s11432-020-3006-9

Special Focus on Multi-source Information Fusion
RESEARCH PAPER Website SpringerLink Google Scholar Cited in SCI: 0

Fully distributed variational Bayesian non-linear filter with unknown measurement noise in sensor networks
Liu, Yu; Liu, Jun; Xu, Congan; Li, Gang; He, You
Sci China Inf Sci, 2020, 63(11): 210202
Keywords: sensor networks; distributed state estimation; cubature Kaiman filter; variational Bayesian inference; Kullback-Leibler divergence
Cite as: Liu Y, Liu J, Xu C A, et al. Fully distributed variational Bayesian non-linear filter with unknown measurement noise in sensor networks. Sci China Inf Sci, 2020, 63(11): 210202, doi: 10.1007/s11432-020-3000-1

Special Focus on Multi-source Information Fusion
RESEARCH PAPER Website SpringerLink Google Scholar Supplementary Cited in SCI: 0

Evidential combination of augmented multi-source of information based on domain adaptation
Huang, Linqing; Liu, Zhunga; Pan, Quan; Dezert, Jean
Sci China Inf Sci, 2020, 63(11): 210203
Keywords: information fusion; domain adaptation; evidence theory; belief functions; pattern classification
Cite as: Huang L Q, Liu Z G, Pan Q, et al. Evidential combination of augmented multi-source of information based on domain adaptation. Sci China Inf Sci, 2020, 63(11): 210203, doi: 10.1007/s11432-020-3080-3

Special Focus on Multi-source Information Fusion
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Self-adaptive combination method for temporal evidence based on negotiation strategy
Song Y F, Zhu J W, Lei L, et al
Sci China Inf Sci, 2020, 63(11): 210204
Cite as: Song Y F, Zhu J W, Lei L, et al. Self-adaptive combination method for temporal evidence based on negotiation strategy. Sci China Inf Sci, 2020, 63(11): 210204, doi: 10.1007/s11432-020-3045-5

Special Focus on Multi-source Information Fusion
RESEARCH PAPER Website SpringerLink Google Scholar Cited in SCI: 0

Active learning based on belief functions
Zhang, Shixing; Han, Deqiang; Yang, Yi
Sci China Inf Sci, 2020, 63(11): 210205
Keywords: active learning; uncertainty sampling; belief functions; generalized linear model
Cite as: Zhang S X, Han D Q, Yang Y. Active learning based on belief functions. Sci China Inf Sci, 2020, 63(11): 210205, doi: 10.1007/s11432-020-3082-9