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Parameter optimization is a key step in arriving at a functional algorithm (see Figure 2).
The linear and spline 2D-QSAR models were developed through multiple linear regression and genetic functional algorithm methods.
This article presents the formal design of a functional algorithm which computes the convex hull of a finite set of points incrementally.
The present study aims to derive QSAR models, which explain the relationship between the anti-cancer activity and the structure of 34 compounds based on physicochemical descriptors using several chemometric methods such as genetic functional algorithm for variable selection GFA, multiple linear regression MLR and non-linear regression MNLR for modeling and William's plot for applicability domain.
Only a dozen minutes or so is required to get an initial version of a functional algorithm.
The ACG® Grouper (version 8) functional algorithm (http://acg.jhsph.org) is composed of a series of consecutive steps that result in 106 ACG®, which were mutually exclusive for each patient [ 7, 8].
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The program identifies with its functional algorithms those biological functions, interacting drugs and/or diseases that are most significantly related to a differentially expressed gene set.
They propose to hybridize iterative reweighted least squares and separable surrogate functional algorithms.
Thus, the fly is motivating new conceptual frameworks for how low-level multisensory circuits and functional algorithms produce high-performance motor control.
We compared the performance of the low-rank functional identification algorithm introduced here with the widely used Spike-Triggered Covariance (STC) algorithm [39].
Note that the low-rank functional identification algorithm reached perfect identification using only 746 spikes, whereas the performance of the STC algorithm saturated at ∼17 [dB] after almost 40,000 spikes were used.
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