نتایج جستجو برای: شاخص aff و rff

تعداد نتایج: 763957  

ژورنال: بوم شناسی آبزیان 2016
Emrani, Seyed Amin , Noori, Ahmad , Rameshi, Hosein ,

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...

Journal: :IEEE Photonics Journal 2022

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...

Journal: :Journal of the London Mathematical Society 2021

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_{-...

2017
Haruyuki Nakano Kimihiko Hirao Mark S. Gordon

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...

2012
Craig Loehle C. Loehle

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...

2011
Fouzi Harrag Abdulmalik Salman Al-Salman

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...

Journal: :Investigative ophthalmology & visual science 2013
Nathan Cutler Marcin Balicki Mark Finkelstein Jiangxia Wang Peter Gehlbach John McGready Iulian Iordachita Russell Taylor James T Handa

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...

Journal: :IEEE Transactions on Signal and Information Processing over Networks 2021

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...

2015
Bharath K. Sriperumbudur Zoltán Szabó

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...

Journal: :CoRR 2017
Bharath Bhushan Damodaran Nicolas Courty Philippe-Henri Gosselin

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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