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In contrast, certain neural networks are trained through unsupervised learning, in which a network is presented with a collection of input data and given the goal of discovering patterns without being told what specifically to look for.
Since the goal of a supertree analysis is to synthesize the phylogenetic data from a collection of input trees, it makes sense that an effective supertree method should directly seek the supertree that is most similar to the input trees.
[Comparability] The trees G and S are comparable if there exists a leaf-mapping ℒ G, S. A set of gene trees 𝒢 and S are comparable if each gene tree in 𝒢 is comparable with S. Throughout the remainder of this article, 𝒢 denotes a collection of input gene trees, S a comparable species tree, and G denotes an arbitrary gene tree in 𝒢.
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BP neural networks consist of a collection of inputs and processing units known as neurons.
It was a collection of inputs from various government departments.
In addition, neutral exclusive regulation also leads to a collection of single input modules -the fourth basic motif.
The inference of a topic model with LDA from a collection of N input documents results in T potential functional modules.
The latter case is known as the supertree problem (Gordon, 1986), whereby the aim is to build a tree (the supertree) summarizing the topological information induced by a collection of source (input) trees as well as possible.
Simultaneous stabilization for a collection of multi-input nonlinear systems with uncertain parameters is dealt with in this paper.
Indeed, if for a given collection of input currents, we consider those graphs with a generally irregular topology T and a non-uniform weight matrix (overline{J}^{c}) such that the ratio (mathcal{R}overset{mathrm{def}}frac {mathscr{A}' (mu_{j} )}{M_{i}}) does not depend on the indices i, j, we can easily see that (mathcal {J}_{ij}=mathcal{R}T_{ij}overline{J}_{ij}^{c}).
Thus, we model an entire collection of input data as a three-dimensional matrix of sample values, S z,x,y),z=1,⋯,N16;x=1,⋯,51;y=1,⋯,N S, where N S is the total number of collected scans, and the indices z, x, and y represent depth, cross-track position, and down-track positions respectively.
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