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The Semantic Information Method for Maximum Mutual Information and Maximum Likelihood of Tests, Estimations, and Mixture Models.

. CoRR, (2017)

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Chenguang Luo

Chenguang Zhao

Chenguang Liu

Chenguang Shen

Lu Lu

 

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Cooperative Spatial Reuse with Transmit Beamforming in Multi-rate Wireless Networks., , и . J. Commun., 4 (1): 26-33 (2009)Cooperative Spatial Reuse with Transmit Beamforming., , и . VTC Fall, стр. 1623-1627. IEEE, (2007)Terminal-embedded beamforming for wireless local area networks., , , , , и . IEEE Wirel. Commun., 15 (2): 82-91 (2008)Capacity analysis of G.fast systems via time-domain simulations., , и . ICC, стр. 4008-4013. IEEE, (2013)Understanding and Accelerating EM Algorithm's Convergence by Fair Competition Principle and Rate-Verisimilitude Function.. CoRR, (2021)The Third Kind of Bayes' Theorem Links Membership Functions to Likelihood Functions and Sampling Distributions.. ICCSIP (2), том 1006 из Communications in Computer and Information Science, стр. 268-280. Springer, (2018)P-T Probability Framework and Semantic Information G Theory Tested by Seven Difficult Tasks.. IFIP TC12 ICIS, том 623 из IFIP Advances in Information and Communication Technology, стр. 103-114. Springer International Publishing, (2020)Causal Confirmation Measures: From Simpson's Paradox to COVID-19.. Entropy, 25 (1): 143 (января 2023)Channels' Confirmation and Predictions' Confirmation: From the Medical Test to the Raven Paradox.. Entropy, 22 (4): 384 (2020)Reviewing Evolution of Learning Functions and Semantic Information Measures for Understanding Deep Learning.. Entropy, 25 (5): 802 (2023)