Many experimental studies were carried out on nano systems of magnesium oxide (mgO) such as magnesium nano-wires, magnesium oxide nanoparticles. Furthermore majority of this investigations were done experimentally. Ba...
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Feature selection can effectively eliminate irrelevant or redundant features without changing features semantics, so as to improve the performance of learning and reduce the training time. In most of the existing feat...
Feature selection can effectively eliminate irrelevant or redundant features without changing features semantics, so as to improve the performance of learning and reduce the training time. In most of the existing feature selection methods based on rough sets, eliminating the redundant features between features and decisions, and deleting the redundant features between features are performed separately. This will greatly increase the search time of feature subset. To quickly remove redundant features, we define a series of feature evaluation functions that consider both the consistency between features and decisions, and redundancy between features, then propose a novel feature selection method based on min-redundancy and max-consistency. Firstly, we define the consistency of features with respect to decisions and the redundancy between features from neighborhood information granules. Then we propose a combined criterion to measure the importance of features and design a feature selection algorithm based on minimal-redundancy-maximal-consistency (mRMC). Finally, on UCI data sets, mRMC is compared with three other popular feature selection algorithms based on neighborhood idea, from classification accuracy, the number of selected features and running time. The experimental comparison shows that mRMC can quickly delete redundant features and select useful features while ensuring classification accuracy.
We report a study of the original image reconstruction algorithm based on the time-of-flight maximum likelihood expectation maximisation (TOF MLEM), developed for the total-body (TB) Jagiellonian PET (J-PET) scanners....
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Up-scaling is still a great opportunity to achieve in the third generation of solar cells. Described in this article novel method combine the electrodeposition with roll-to-roll technique and may be useful in future m...
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The rapid development of modern energy applications drives an urgent need to enhance the dielectric strength of energy storage dielectrics for higher power density. Interface design is a promising strategy to regulate...
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The measurement of the central exclusive production of charged hadron pairs ℎ+ℎ− (ℎ = π, K, p) by the STAR experiment at RHIC is reported. The data from proton-proton collisions at √s = 200 GeV were used in this stu...
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Bayesian optimization is an effective method for fnding extrema of a black-box function. We propose a new type of Bayesian optimization for learning user preferences in high-dimensional spaces. The central assumption ...
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Quantum algorithms can potentially overcome the boundary of computationally hard problems. One of the cornerstones in modern optics is the beam propagation algorithm, facilitating the calculation of how waves with a p...
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The state of structural balance (termed also ‘Heider balance’) of a social network is often discussed in social psychology and sociophysics. In this state, actors at network nodes classify other individuals as enemi...
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