Examples of using Hyperplane in English and their translations into Russian
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This distance from the hyperplane is called the margin.
With more than one input,the line becomes a hyperplane.
Each perceptron defines a hyperplane, which divides the space into two.
Adjacent 4-faces are not in the same four-dimensional hyperplane.
We name two bundles combinable if there is a hyperplane laying at once in two these bundles.
So we choose the hyperplane so that the distance from it to the nearest data point on each side is maximized.
All vertices andedges of the polytope are projected onto a hyperplane of that facet.
Convenient for all kinds of plane, hyperplane, circle surface, circle pipe axes mark and so on.
The matrix z must be expressed as the sum of a multiple of the identity matrix I and a matrix in the hyperplane a+ d 0.
Moreover, this hyperplane can be tiled by infinitely many translated copies of the permutohedron.
It is also one of the simplest examples of a hypersimplex,a polytope formed by certain intersections of a hypercube with a hyperplane.
A mirror represents a hyperplane within a given dimensional spherical or Euclidean or hyperbolic space.
They can be characterised as the intersections of closed half-spaces sets of point in space that lie on and to one side of a hyperplane.
It can be shown that every plane(which is a hyperplane since the geometric dimension is 3) of PG(3,q) meets an ovoid O in either 1 or q+ 1 points.
Pyramidal 5-polytopes, or 5-pyramids,can be generated by a 4-polytope base in a 4-space hyperplane connected to a point off the hyperplane. .
Each tetrahedral face represents a reflection hyperplane on 3-dimensional surfaces: the 3-sphere, the Euclidean 3-space, and hyperbolic 3-space.
In other words, the observation belongs to y{\displaystyle y}if corresponding x→{\displaystyle{\vec{x}}} is located on a certain side of a hyperplane perpendicular to w→{\displaystyle{\vec{w.
For each the Coxeter diagram can be deduced by identifying the hyperplane mirrors and labelling their connectivity, ignoring 90-degree dihedral angles order 2.
If such a hyperplane exists, it is known as the maximum-margin hyperplane and the linear classifier it defines is known as a maximum margin classifier.
Ample divisors have a nice property such as it is the pullback of some hyperplane bundle of projective space, whose properties are very well known.
We define a bundle of hyperplanes as a set of hyperplanes such that an intersection of any of two coincides(it is a hyperplane of dimension less by 1, than the initial).
The permutohedron of order n lies entirely in the(n- 1)-dimensional hyperplane consisting of all points whose coordinates sum to the number 1+ 2+…+ n n(n+ 1)/2.
The Euler characteristic can then be used to compute the Betti numbers for the cohomology of X{\displaystyle X} by using the definition of the Euler characteristic andusing the Lefschetz hyperplane theorem.
Goemans and Williamson simply choose a uniformly random hyperplane through the origin and divide the vertices according to which side of the hyperplane the corresponding vectors lie.
A calibration plot shows the proportion of items in each class for bands of predicted probability or score such as adistorted probability distribution or the"signed distance to the hyperplane" in a support vector machine.
Any six points in general position in four-dimensional space determine 15 points where a line through two of the points intersects the hyperplane through the other four points; thus, the duads of the six points correspond one-for-one with these 15 derived points.
Another formula for the centroid is C k∫ z S k( z) d z∫ S k( z) d z{\displaystyle C_{k}={\frac{\int zS_{ k}( z)\; dz}{\ int S_{ k}( z)\; dz}}} where Ck is thekth coordinate of C, and Sk(z) is the measure of the intersection of X with the hyperplane defined by the equation xk z.
The centroid of an object X{\displaystyle X} in n{\displaystyle n}-dimensional space is the intersection of all hyperplanes that divide X{\displaystyle X}into two parts of equal moment about the hyperplane.
Since two vertices i{\displaystyle i} and j{\displaystyle j} being given the same color is equivalent to the i{\displaystyle i}'th and j{\displaystyle j}'th coordinate in the coloring vector being equal,each edge can be associated with a hyperplane of the form{ x∈ R d: x i x j}{\displaystyle\{x\in R^{d}: x_{ i}= x_{ j}\.
