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Improving the Minimum Free Energy Principle to the Maximum Information Efficiency Principle
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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Efficiency comparison of maximum likelihood estimation in log–logistic distribution using median ranked set sampling
Published 2025-01-01Subjects: “…fisher information…”
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Design of Asymmetrical Relay Resonators for Maximum Efficiency of Wireless Power Transfer
Published 2016-01-01Get full text
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Efficient keyword spotting system for information retrieval
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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Efficient identification of maximum independent sets in stochastic multilayer graphs with learning automata
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Impact of the Adjustment of Maximum Order Volume on Pricing Efficiency of Stock Index Futures in China
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
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
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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Evaluation Method of Chinese Efficiency for Grid-connected Photovoltaic Inverters
Published 2014-01-01Get full text
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Spectral Efficiency of Wireless Relay Network in Frequency Non-Selective Channel
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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Angus: efficient active learning strategies for provenance based intrusion detection
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Optimizing Finite Population Mean Estimation Using Simulation and Empirical Data
Published 2025-05-01Subjects: Get full text
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Profit-Efficient Elastic Allocation of Cloud Resources Using Two-Stage Adaptive Workload Prediction
Published 2025-02-01Get full text
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Maximum Mutual Information Feature Extraction Method Based on the Cloud Platform
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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Optimizing Solar Energy Harvesting: A K‐Means Clustering Approach for Enhanced Efficiency and Viability
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Quantum Marine Predator Algorithm: A Quantum Leap in Photovoltaic Efficiency Under Dynamic Conditions
Published 2024-11-01Get full text
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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
Published 2024-10-01“…However, the economic efficiency of conservation practices is low due to limited forest exploitation. …”
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