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The package provides flexible functions to search functional related gene products with a given gene product, a gene set, or even a list of biological key words as input.
Therefore, the function is uniquely defined based on linear interpolation of the coefficient values, and the characterization of such flexible functions for β requires a set of high-dimensional coefficients θ.
First, improved generic and flexible functions are formulated for modeling the shape of leaves and stems of graminaceous plants as organ-related triangulated surfaces, where the parameters may be directly interpreted in terms of morphological traits.
We bring forward two types of arguments which convey the message that many currently popular machine learning approaches to learning flexible functions have fundamental limitations that render them inappropriate for learning highly varying functions.
To characterize the non-stationarity of the frequency distributions, we assume that the parameters ln β(t), ln m(t), and ln σ(t) are expressed by flexible functions of time t using the piecewise-linear function (Kumazawa and Ogata 2013, 2014; Kumazawa et al. 2016a).
We modelled the excess mortality on the log-cumulative excess hazard scale, using flexible functions (Nelson et al, 2007; Lambert and Royston, 2009).
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Extremely flexible functioning becomes possible if the GOLE functionality is switched in response to earlier computations.
Neural networks have flexible function form consisting of linear and non-linear functional relationship, thus have unique advantage in the forecasting required in this paper.
In this step, the conditional expectation of the outcome, Y i, given T i and R i, is modeled as a flexible function of its two arguments.
It is considered to be important to change the flexible function sharing in consideration of the client's capabilities and performance in the experimental stage.
Currently there exist various approaches that evolve control architectures to the next level, but none of them address flexible function deployment at the same time with legacy support.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com