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Tucker network: Expressive power and comparison
Neural Networks, 2023Deep neural networks have achieved great success in solving many machine learning and computer vision problems. In this paper, we propose a deep neural network called the Tucker network derived from the Tucker format and analyze its expressive power.
Ye Liu 0014 +2 more
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Proceedings of the IEEE/ACM 1st International Conference on Automation of Software Test, 2020
The increased interest in string solving in the recent years has made it very hard to identify the right tool to address a particular user's purpose. Firstly, there is a multitude of string solving, each addressing essentially some subset of the general problem.
Mitja Kulczynski +3 more
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The increased interest in string solving in the recent years has made it very hard to identify the right tool to address a particular user's purpose. Firstly, there is a multitude of string solving, each addressing essentially some subset of the general problem.
Mitja Kulczynski +3 more
openaire +3 more sources
On the distribution of hotelling's trace and power comparisons
Communications in Statistics, 1974This paper deals with the statistic U(p) (a constant times Hotelling's ) in connection with (A) testing , (B) MANOVA and (C) testing canonical correlations. The distribution of U(p) is derived for p = 3 and p = 4 in the central case and for p = 3 in the non-central case. Using these results, the criterion U(3) is studied (for a specific value of one of
Pillai, K. C. S., Sudjana
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Comparison of LoRaWAN classes and their power consumption
2017 IEEE Symposium on Communications and Vehicular Technology (SCVT), 2017Many Internet of Things (IoT) applications benefit greatly from low-power long-range connectivity. A promising technology to achieve the low-power and long-range requirements is seen in LoRaWAN, a media access control (MAC) protocol maintained by the LoRa Alliance and leveraging Semtech's patented LoRa radio modulation technology.
Phui San Cheong +3 more
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On Comparison of Power of Partially Hypoelliptic Polynomials
Journal of Contemporary Mathematical Analysis (Armenian Academy of Sciences), 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Margaryan, V. N., Ghazaryan, H. G.
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Ophthalmic and Physiological Optics, 1990
The important formal process of inferring properties of populations from statistics of samples requires a method by which variables can be compared or ranked. A suitable method of comparing dioptric powers is described. The method recognizes the essentially four‐dimensional nature of dioptric power and is sufficiently general to allow for comparison of
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The important formal process of inferring properties of populations from statistics of samples requires a method by which variables can be compared or ranked. A suitable method of comparing dioptric powers is described. The method recognizes the essentially four‐dimensional nature of dioptric power and is sufficiently general to allow for comparison of
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Propulsion powered electric guns-a comparison of power system architectures
IEEE Transactions on Magnetics, 1992ABSTRACTAlternative power system architectures and interface technologies for driving high energy pulsed loads from the propulsion equipment of surface combatants are compared. Gas turbine mechanical and gas turbine Integrated Electric Drive (IED) propulsion trains are considered as prime power sources.
TIMOTHY J. DOYLE, GUY F. GRATER
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Power comparisons for disease clustering tests
Computational Statistics & Data Analysis, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Martin Kulldorff +2 more
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Power Comparisons in Contingency Tables
Journal of Statistical Theory and Practice, 2021It is an important inferential problem to test no association between two binary variables based on data. Tests based on the sample odds ratio are commonly used. We bring in a competing test based on the Pearson correlation coefficient. In particular, the odds ratio does not extend to higher order contingency tables, whereas Pearson correlation does ...
Mohammad Alfrad Nobel Bhuiyan +2 more
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