Search Results - statistical algorithm
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Towards Analysis of Covariance Descriptors via Bures–Wasserstein Distance
Published 2025-07-01Get full text
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SOME PECULIARITIES ARISING IN THE STUDY OF NONLINEAR REGRESSION USING EXCEL AND OTHER PROGRAMS
Published 2016-08-01Get full text
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1225
First M87 Event Horizon Telescope Results. VI. The Shadow and Mass of the Central Black Hole
Published 2019-01-01“…We develop and fit geometric crescent models (asymmetric rings with interior brightness depressions) using two independent sampling algorithms that consider distinct representations of the visibility data. …”
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Sparse Reconstruction-Based Target Localization with Distributed Waveform-Diverse Array Radars
Published 2025-07-01“…., the range offset between the sampling point and actual position within the range bin) of the targets in each local radar, two sparse reconstruction-based algorithms, including the grid-based Iterative Adaptive Approach (IAA) and gridless Atomic Norm Minimization (ANM) algorithms, are implemented. …”
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MODELING PROCESS OF CREATION OF NEW JOBS IN DEFENSE-INDUSTRIAL COMPLEX<sup>1 </sup>
Published 2016-08-01Get full text
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Parametric representation of musical sounds
Published 2014-01-01“…Then, the quality of calculated parameters was tested statistically. Additionally, some discretization methods were applied in order to create so-called feature vectors that are to be used for feeding inputs of decision algorithms. …”
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Method for long-term coherent-noncoherent signal accumulation with non-zero higher derivatives range to radar target
Published 2021-11-01“…A method of long-term combined accumulation of the reflected signal is justified, which provides for its division into disjoint subsets, coherent accumulation in subsets using one of the fast algorithms and subsequent incoherent accumulation of the squares of the modules of the results of processing the subsets. …”
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Task-Driven Real-World Super-Resolution of Document Scans
Published 2025-07-01Get full text
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Construction and Application of Multi-dimensional Quality Evaluation Model of Government Reply
Published 2023-08-01Get full text
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DLTM: a deep learning method for tearing mode simulation and prediction
Published 2025-01-01Get full text
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RESEARCH AND INNOVATION ACTIVITY OF THE STAVROPOL STATE AGRARIAN UNIVERSITY: TENDENCIES AND RESULTS
Published 2016-12-01“…Statistic information about the University scientists’ participation in the innovation process is given.…”
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INFORMATICS, COMPUTER ENGINEERING AND MANAGEMENT
Published 2022-08-01“…The paper considers several combinatorial and optimization problems in Big Data systems, including the computational complexity of finding functional dependencies in the subject area and constructing a data schema, the number of combinations for recovering traversing paths on data schema is calculated, the maximum number of B + tree indexes is calculated. Algorithms for solving these problems are estimated by non-polynomial complexity functions and, in practice, heuristic methods of their optimization are usually used. …”
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A METHOD OF COMPUTER SIMULATION MODELING OF USER AND BOT BEHAVIOR IN A RECOMMENDATION SYSTEM USING THE GRAPH DATABASE NEO4J
Published 2021-09-01“…The goal is to develop a method of computer simulation modeling of ordinary user and bot behavior in a recommendation system based on the theory of complex networks to test the accuracy and robustness of various algorithms for generating recommendations. The tasks to be solved are: to develop a computer simulation model of user and bot behavior in a recommendation system with the ability to generate datasets for testing recommendation generation algorithms. …”
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Oil Commodity Movement Estimation: Analysis with Gaussian Process and Data Science
Published 2025-06-01Get full text
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Investigation of the impact of service parameters on the degree of passenger satisfaction based on the application of the apparatus of neural networks
Published 2017-10-01“…As a result, in order to obtain the maximum of objective information necessary for developing solutions in the field of quality management of transport services of the passenger complex, it is proposed to use a new modification of the universal complex mechanism for studying the influence of various service parameters on the level of customer satisfaction, including a set of regression algorithms, the apparatus of neural networks and nonparametric statistics toolkit.…”
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