Search Results - statistical algorithm

Algorithms of statistical anomalies clearing for data science applications by Олексій Писарчук, Данило Баран, Юрій Міронов, Ілля Писарчук

“… The paper considers the nature of input data used by Data Science algorithms of modern-day application domains. It then proposes three algorithms designed to remove statistical anomalies from datasets as a part of the Data Science pipeline. …”
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Utilizing Statistical Tests for Comparing Machine Learning Algorithms by Hozan Khalid Hamarashid

Subjects: “…machine learning, machine learning assessment, statistical tests, machine learning algorithm, machine learning comparison.…”
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Hybrid statistical-algorithmic approach using the frog algorithm to optimize blast patterns for reducing blast vibrations by Abbas Khajouei Sirjani, Farhang Sereshki, Mohammad Ataei, Manoj Khandelwal, Hojatollah Mohammadi Anayi, Seyed Mohammad Mehdi Mousavi Nasab, Mohammad Amiri Hosseini

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JSEG Algorithm and Statistical ANN Image Segmentation Techniques for Natural Scenes by Lulio, Luciano Cássio, Tronco, Mário Luiz, Porto, Arthur José Vieira

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Statistically based algorithm for differential diagnosis of arthropathies based on quantitative osteoscintigraphy by E. G. Prokhorova, E. A. Shikina, G. E. Zhilyaev, E. V. Zhilyaev

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AN ALGORITHM FOR APPLYING STATISTICAL METHODS IN THE IDENTIFICATION OF SUBSPECIES AND HYBRIDS OF PANTHERA PARDUS by O. Chernova, T. T. Perfiova, A. Kiladze, P. Sorokin

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Algorithm for Determination of Stated Half-Hour Capacity Using Probabilistic and Statistical Method by V. N. Radkevich, O. A. Mikhnevich

“…An algorithm for evaluation of due half-hour consumer capacity has been developed using probabilistic and statistical method on the basis of the statistical information on electrical energy consumption with preliminary control of input information. …”
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ALGORITHMS OF THE STATISTICAL METHODS USED FOR IMPROVEMENT OF QUALITY OF METALLURGICAL PRODUCTION AT RUP «BMZ» by A. N. Chichko, L. A. Feklistova, O. A. Sachek

“…Algorithms for determination of statistic characteristics in metallurgical production at manufacturing of hardware products are described. …”
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Statistical bayesian algorithm for processing thermographic images of the cow udder for diagnosing mastitis by I. I. Hirutsky, A. G. Senkov, Y. A. Rakevich

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Algorithm for the analysis of kinematic characteristics of running by N. S. Davydova, V. Е. Vasiuk, N. A. Paramonova, М. М. Mezhennaya, D. I. Guseinov

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Algorithm for Efficient Entropy Estimation by E. A. Timofeev

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The Morphological Classification of Galaxy Clusters: Algorithms for Applying the Numerical Criteria by Elena Panko

“…It is possible in future to adapt the algorithms for the 3D case. The results of statistically valid morphological classification are useful for studies of the evolution of galaxy clusters.…”
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Algorithm for Reducing the Number of Forwarding Rules Created by SDN Applications by Ivan S. Petrov

“…So we need algorithms to minimize the number of such rules. In this paper, we consider the problem of minimizing the number of forwarding rules installed on SDN switches by applications that analyze network statistics. …”
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A Lifting Wavelet Domain Audio Watermarking Algorithm Based on the Statistical Characteristics of Sub-Band Coefficients by Zhi TAO, He-ming ZHAO, Jun WU, Ji-hua GU, Yi-shen XU, Di WU

“…In this paper, a new lifting wavelet domain audio watermarking algorithm based on the statistical characteristics of sub-band coefficients is proposed. …”
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Substantiation of source data on the parametric algorithms for the classification of weather hazards by O. V. Vasiliev, E. S. Boyarenko, K. I. Galaeva

“…The statistical Bayesian decision theory assumes decision-making in terms of the probability theory when all significant probabilistic values, so-called sufficient statistics, are known. …”
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Statistical Optimization of Underwater Lower-Frequency Sound Insulation for Locally Resonant Sonic Material Using Genetic Algorithm by Bo YUAN, Yong CHEN, Bilian TAN, Bo LI

“…Hence, this paper proposes a statistical optimization method, which first finds a group of optimal solutions of an object function by utilizing genetic algorithm multiple times, and then analyzes the distribution of the fitness and the Euclidean distance of the obtained solutions, in order to verify whether the result is the global optimum. …”
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