Results 31 to 40 of about 24,615,903 (307)
In order to carry out a comprehensive design description of the specific architectural model of AI, the auxiliary model of AI and architectural spatial intelligence is deeply integrated, and flexible design is carried out according to the actual ...
Hongyu Li +3 more
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Optimal solutions for a bio mathematical model for the evolution of smoking habit
In this study, we apply Variation of Parameter Method (VPM) coupled with an auxiliary parameter to obtain the approximate solutions for the epidemic model for the evolution of smoking habit in a constant population. Convergence of the developed algorithm,
Waseem Sikander +3 more
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Crime amount prediction based on 2D convolution and long short-term memory neural network
Crime amount prediction is crucial for optimizing the police patrols' arrangement in each region of a city. First, we analyzed spatiotemporal correlations of the crime data and the relationships between crime and related auxiliary data, including points ...
Qifen Dong, Ruihui Ye, Guojun Li
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Geostatistical modeling of topography using auxiliary maps [PDF]
This paper recommends computational procedures for employing auxiliary maps, such as maps of drainage patterns, land cover and remote-sensing-based indices, directly in the geostatistical modeling of topography. The methodology is based on the regression-kriging technique, as implemented in the R package gstat.
Tomislav Hengl +3 more
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To solve the problems of low penetration, serious wear and low rock-breaking efficiency during traditional disc cutter rock breaking under the geological conditions of hard rock, many new auxiliary rock breaking methods have been proposed, such as ...
Lu GUO +4 more
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Social Recommendation Based on Multi-Auxiliary Information Constrastive Learning
Social recommendation can effectively alleviate the problems of data sparseness and the cold start of recommendation systems, attracting widespread attention from researchers and industry.
Feng Jiang +5 more
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PixelCNN Models with Auxiliary Variables for Natural Image Modeling
ICML ...
Kolesnikov, Alexander +1 more
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Identifiability of Deep Generative Models Without Auxiliary Information
34 pages, 9 figures, to appear in NeurIPS ...
Bohdan Kivva +3 more
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An Information Criterion for Auxiliary Variable Selection in Incomplete Data Analysis
Statistical inference is considered for variables of interest, called primary variables, when auxiliary variables are observed along with the primary variables.
Shinpei Imori, Hidetoshi Shimodaira
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Link auxiliary field method in the extended Hubbard model
The aim of this work is to generalize the method of Hubbard fields in fermion Quantum Monte Carlo simulation to the case of link fields. The introduced Hubbard link fields play a role of the interaction fields responsible for the attraction and repulsion of electronic excitations at the nodes.
Sergey Mostovoy, Oleg Pavlovsky
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