Showing 1 - 20 results of 1,007 for search 'maximum information (efficient OR efficiency)', query time: 0.14s Refine Results
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    Improving the Minimum Free Energy Principle to the Maximum Information Efficiency Principle by Chenguang Lu

    Published 2025-06-01
    “…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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    Efficient keyword spotting system for information retrieval by LUO Jun, OU Zhi-jian

    Published 2006-01-01
    “…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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    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

    Published 2020-01-01
    “…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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    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

    Published 2025-01-01
    “…The proposed estimators are multiply robust, locally efficient, and directly estimate and update the conditional densities that factorize data likelihoods. …”
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    Spread Spectrum OFDM-IM With Efficient Precoded Matrix and Low Complexity Detector by Ahmed Waheed, Somayeh Mohammady

    Published 2024-01-01
    “…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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    Spectral Efficiency of Wireless Relay Network in Frequency Non-Selective Channel by E. A. Mavrychev, E. N. Pribludova, S. B. Sidorov

    Published 2020-10-01
    “…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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    Maximum Mutual Information Feature Extraction Method Based on the Cloud Platform by Shasha Wei, Huijuan Lu, Wei Jin, Chao Li

    Published 2013-10-01
    “…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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    The use of Geographic Information Systems as innovative tools for sustainable development strategies and enhancing the efficiency of forest sector entities by Lutsiv Nataliia, Pavlo Chukhna

    Published 2024-10-01
    “…However, the economic efficiency of conservation practices is low due to limited forest exploitation. …”
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