Improving the Minimum Free Energy Principle to the Maximum Information Efficiency Principle by Chenguang Lu

“…Based on the study of the <i>R</i>(<i>G</i>) function and logical Bayesian Inference, this paper proposes the Semantic Variational Bayesian (SVB) and the Maximum Information Efficiency (MIE) principle. Theoretic analysis and computing experiments prove that <i>R</i> − <i>G</i> = <i>F</i> − <i>H</i>(<i>X</i>|<i>Y</i>) (where <i>F</i> denotes VFE, and <i>H</i>(<i>X</i>|<i>Y</i>) is Shannon conditional entropy) instead of <i>F</i> continues to decrease when optimizing latent variables; SVB is a reliable and straightforward approach for latent variables and active inference. …”
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Efficiency comparison of maximum likelihood estimation in log–logistic distribution using median ranked set sampling

Subjects: “…fisher information…”
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Maximum Mutual Information Feature Extraction Method Based on the Cloud Platform by Shasha Wei, Huijuan Lu, Wei Jin, Chao Li

“…With the large-scale application of gene chip,gene expression data with high dimension which exists a large number of irrelevant and redundant features may reduce classifier performance problem.A maximum mutual information feature extraction method based on cloud platforms was proposed.Hadoop cloud computing platform could be a parallel computing after gene expression data segmentation,features was extracted at the same time combined with the maximum mutual information method and the characteristics of cloud computing platform filter model was realized.Simulation experiments show that the maximum mutual information feature extraction method based on the cloud platform can rapid extraction of features in a higher classification accuracy which save a lot of time resources to make a highly efficient gene feature extraction system.…”
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Design of Asymmetrical Relay Resonators for Maximum Efficiency of Wireless Power Transfer by Bo-Hee Choi, Jeong-Hae Lee

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Efficient identification of maximum independent sets in stochastic multilayer graphs with learning automata by Mohammad Mehdi Daliri Khomami, Mohammad Reza Meybodi, Alireza Rezvanian

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Impact of the Adjustment of Maximum Order Volume on Pricing Efficiency of Stock Index Futures in China by Liang Wang, Tingjia Xu, Longhao Qin, Xianyan Xiong

“…Finally, the dynamic factor analysis method is used to quantify the pricing efficiency based on the probability of informed trading and the characteristics of limit order book, and the influence of the event on the pricing efficiency of stock index futures market is discussed. …”
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Comparison of Maximum Likelihood and some Bayes Estimators for Maxwell Distribution based on Non-informative Priors by Baghdad Science Journal

“…In this paper, Bayes estimators of the parameter of Maxwell distribution have been derived along with maximum likelihood estimator. The non-informative priors; Jeffreys and the extension of Jeffreys prior information has been considered under two different loss functions, the squared error loss function and the modified squared error loss function for comparison purpose. …”
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Efficient keyword spotting system for information retrieval by LUO Jun, OU Zhi-jian

“…A new two-stage keyword spotting system was proposed based on syllable graph for audio information retrieval task,which could efficiently spot the interesting words in mass speech data,thus serve for the national security.It comprised two stages – preprocessing and searching.In the preprocessing stage,the audio data was recognized into syllable graph which included high accuracy syllable candidates,and unsupervised MLLR（maximum likelihood linear regression） adaptation was carried out iteratively to further improve the accuracy of the syllable graph.In the searching stage,to answer the frequent queries from users,searching for matched keywords was only scanned in the graph for likely syllable strings.A forward-backward algorithm based on syllable N-grammar was used to calculate confidence measures for further filtering of the searching result.Experimental results show the system achieved good performances in both recall rate and accuracy rate,and in the searching stage only 0.01 times of real time is needed,which can meet the demand for fast retrieval.…”
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Correction of the Relative Coordinates by Range using the Maximum Likelihood Method by V. K. Orlov, V. S. Ramadanov

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Targeted maximum likelihood based estimation for longitudinal mediation analysis by Wang Zeyi, Laan Lars van der, Petersen Maya, Gerds Thomas, Kvist Kajsa, Laan Mark van der

“…In this article, we focus on targeted maximum likelihood estimation (TMLE) of longitudinal natural direct and indirect effects defined with random interventions. …”
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Investigation of efficiency and quality of functioning of led lighting elements of electrical systems at the maximum permissible ambient temperature by R. H. Tukshaitov, N. V. Rozhencova, A. R. Denisova

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Spatio‐Temporal Convergence of Maximum Daily Light‐Use Efficiency Based on Radiation Absorption by Canopy Chlorophyll by Yao Zhang, Xiangming Xiao, Sebastian Wolf, Jin Wu, Xiaocui Wu, Beniamino Gioli, Georg Wohlfahrt, Alessandro Cescatti, Christiaan van derTol, Sha Zhou, Christopher M. Gough, Pierre Gentine, Yongguang Zhang, Rainer Steinbrecher, Jonas Ardö

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Prediction of soil heavy metal content under spatial scale based on Bayesian maximum entropy and auxiliary information by FEI Xufeng, REN Zhouqiao, LOU Zhaohan, XIAO Rui, LÜ Xiaonan

“…Selecting Hangzhou City as a case study, the spatial distribution of heavy metals was predicted by Bayesian maximum entropy (BME) method using the soil parent material as auxiliary information, and the estimation accuracy was compared with the traditional Kriging technique. …”
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Optimizing Finite Population Mean Estimation Using Simulation and Empirical Data by Abdulaziz S. Alghamdi, Fatimah A. Almulhim

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Comparison between Linear Regression and Robust Regression Models by Using Error Criteria and Information Criteria Applied to Human Sample by Ismat Mousa Ibrahim

“…In this study a comparison was made between Ordinary Least Squares (OLS) with two robust methods Least Trimmed Square Estimator (LTS) and the Modified Maximum likelihood type estimator (MM), they were evaluated using two types of criteria represented by error criteria (MSE, MAPE, MSAE, SAZ1, SAZ2,) and information criteria (AIC, BIC). …”
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Spread Spectrum OFDM-IM With Efficient Precoded Matrix and Low Complexity Detector by Ahmed Waheed, Somayeh Mohammady

“…Moreover, a low complex minimum means square error greedy detector (MMSE-GD) is proposed that can achieve optimal performance for perfect channel state information (CSI) and superior performance compared to maximum likelihood (ML) under imperfect CSI. …”
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Improving the efficiency of visual navigation of an unmanned aerial vehicle by choosing the most informative route by N. V. Kim, D. S. Girenko

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Spectral Efficiency of Wireless Relay Network in Frequency Non-Selective Channel by E. A. Mavrychev, E. N. Pribludova, S. B. Sidorov

“…Spectral efficiency analysis of a relay network in a multipath channel where the relay network was optimized by using of two types a priori information: an instantaneous channel state information and second order statistics.Materials and methods. …”
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Adaptive Neuro-Fuzzy Inference System-Genetic Algorithm approach for global maximum power point tracking in PV systems under different shading conditions by Nivine Guler, Zied Ben Hazem, Ali Gunes, Firas Saidi

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Evaluation Method of Chinese Efficiency for Grid-connected Photovoltaic Inverters by WANG Ting, WANG Zong, FAN Shiling, TANG Zhou

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