نتایج جستجو برای: شاخص aff و rff
تعداد نتایج: 763957 فیلتر نتایج به سال:
The growth performance and survival rate of spats of winged pearl oyster (Pteria penguin) fed with two microalgae, Isochrysis aff. galbana and Chaetoceros calcitrans, as well as the combination of both species over a period of 60 days, was evaluated. The microalgal density was considered 50000 cell.ml-1 in all treatments. The spats divided into 5 different groups; (1) spats fed exclusively with...
Kernel Recursive Maximum Versoria Criterion Based Post-Distorter for VLC Using Kernel-Width Sampling
Visible light communication (VLC) has emerged as a potential candidate for next generation wireless systems. However, nonlinear characteristics of emitting diode (LED), user-mobility, and DC-bias fluctuations are the major factors that limit throughput VLC link, makes overall additive distortion non-Gaussian distributed. To mitigate this noise processes encountered in systems due to LED nonline...
For $\mathfrak g$ a Kac-Moody algebra of affine type, we show that there is an $\text{Aut}\, \mathcal O$-equivariant identification between $\text{Fun}\,\text{Op}_{\mathfrak g}(D)$, the functions on space ${\mathfrak g}$-opers disc, and $W\subset \pi_0$, intersection kernels screenings inside vacuum Fock module $\pi_0$. This kernel $W$ generated by two states: conformal vector, state $\delta_{-...
An analytic energy gradient method for second-order quasidegenerate perturbation theory with multiconfigurational self-consistent field reference functions (MC-QDPT) is derived along the lines of the response function formalism (RFF). According to the RFF, the gradients are calculated without solving coupled perturbed equations. Instead, it is necessary to solve seven sets of linear equations i...
A new approach to habitat distribution modeling is presented and tested with data on North American plants. The relative frequency function (RFF) algorithm compares the relative frequencies of a species’ sample points to that of random points or absence points on the landscape to compute a frequency ratio. The relative frequency ratio r is smoothed across the range of values using moving, overl...
صلاخلا ـ ة : ُّ دعتُ ل ثم ةيعيبطلا تاغللا ةجلاعم تاقيبطت نم ديدعلل ايساسأ انوكم ةيعوضوملا ةئزجتلا قيبطت تامولعملا عاجرتساو صوصنلا صيخلت . نم فدهلا وه ثحبلا اذ ه قت و مي ةيعوضوملا ة ئزجتلا تا يمزراوخ ة يلاعف ضوملا دودحلا ى لع فرعتلا يف ة يبرعلا صوصنلا لخاد ةيعو . م تو قايس لا اذ ه يف ة فلتخم رداصم نم ةيبرع صوصن ةسمخ لخاد اهنوظحلاي يتلا ةركفلا وأ عوضوملا تاريغت ىلع فرعتلل ةيبرعلا ةغللا ءارق نم ة...
PURPOSE To determine the extent that auditory force feedback (AFF) substitution improves performance during a simulated ophthalmic peeling procedure. METHODS A 25-gauge force-sensing microforceps was linked to two AFF modes. The "alarm" AFF mode sounded when the force reached 9 mN. The "warning" AFF mode made beeps with a frequency proportional to the generated force. Participants with differ...
This paper develops adaptive graph filters that operate in reproducing kernel Hilbert spaces. We consider both centralized and fully distributed implementations. first define nonlinear on graph-shifted versions of the input signal. then propose a least mean squares (GKLMS) algorithm to identify filters' model parameters. To reduce dictionary size GKLMS, we apply principles coherence check rando...
Kernel methods represent one of the most powerful tools in machine learning to tackle problems expressed in terms of function values and derivatives due to their capability to represent and model complex relations. While these methods show good versatility, they are computationally intensive and have poor scalability to large data as they require operations on Grammatrices. In order to mitigate...
Kernel methods are powerful and flexible approach to solve many problems in machine learning. Due to the pairwise evaluations in kernel methods, the complexity of kernel computation grows as the data size increases; thus the applicability of kernel methods is limited for large scale datasets. Random Fourier Features (RFF) has been proposed to scale the kernel method for solving large scale data...
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