Zobrazeno 1 - 10
of 48 439
pro vyhledávání: '"Computer Science::Databases"'
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering, 35(6), 5485-5505. IEEE Computer Society
Many techniques have been developed for the cardinality estimation problem in data management systems. In this document, we introduce a framework for cardinality estimation of query patterns over property graph databases, which makes it possible to a
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 17:1-50
Nearest neighbor search aims to obtain the samples in the database with the smallest distances from them to the queries, which is a basic task in a range of fields, including computer vision and data mining. Hashing is one of the most widely used met
Publikováno v:
Environmental Geotechnics. 10:44-56
An analytical solution for contaminant transport through a vertical cut-off wall and aquifer system is developed, which can consider the advection, dispersion and degradation processes. The uniqueness of the solution is that it includes hyperbolic ei
Autor:
Zhang, Wei
Publikováno v:
International Journal of Number Theory. :1-8
In this paper, we consider the fractional sum of the divisor functions. We can improve previous results considered by [O. Bordellés, On certain sums of number theory, Int. J. Number Theory 18(9) (2022) 2053–2074; K. Liu, J. Wu and Z. S. Yang, On s
Autor:
Marius-F. Danca
Publikováno v:
Mathematical Methods in the Applied Sciences. 46:8746-8758
In this paper the dynamics of an autonomous mathematical models of COVID-19 depending on a real parameter bifurcation, is controlled by switching periodically the parameter value. For this purpose the Parameter Switching (PS) algorithm is used. With
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 44:237-250
Accurate and rapid prediction of the coal and gas outburst is very significant for preventing accident and protecting environment, the paper presents a novel feature selection and outburst classifier framework which can identify effective candidate f
Autor:
Chak, Wai Ho, Saito, Naoki
Publikováno v:
JSIAM Letters. 15:21-24
The scattering transform network (STN), which has a similar structure as that of a popular convolutional neural network except its use of predefined convolution filters and a small number of layers, can generates a robust representation of an input s
Autor:
Lizeth Gonzalez-Carabarin, Iris A. M. Huijben, Bastian Veeling, Alexandre Schmid, Ruud J. G. van Sloun
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-12
Unstructured neural network pruning algorithms have achieved impressive compression rates. However, the resulting - typically irregular - sparse matrices hamper efficient hardware implementations, leading to additional memory usage and complex contro
Autor:
Wencheng Wang, Shengchun Wang
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 28:4073-4084
The grid-based approach is popular for point-in-polygon tests. However, there is a trade-off between the preprocessing and the inclusion test, which always requires the grid resolutions to be tuned. In this article, we address this challenge by enhan
Autor:
Martin Grohe, Peter Lindner
Publikováno v:
Journal of the ACM. 69:1-42
Probabilistic databases (PDBs) model uncertainty in data. The current standard is to view PDBs as finite probability spaces over relational database instances. Since many attributes in typical databases have infinite domains, such as integers, string