hyperplane वाक्य
उदाहरण वाक्य
मोबाइल
- The parameters of the maximum-margin hyperplane are derived by solving the optimization.
- N is a normal vector of this hyperplane.
- Hence, there must be a separating hyperplane.
- Logical knowledge is represented by linear equations, or geometrically, a certainty hyperplane.
- The hyperplane arrangement can be constructed from a cuboctahedron ( a platonic solid ):
- Change of normalisation : mapping the null cone from the hyperplane to the hyperplane.
- Change of normalisation : mapping the null cone from the hyperplane to the hyperplane.
- Also, let be the hyperplane that splits the longest side of in two.
- Any hyperplane can be written as the set of points \ mathbf { x } satisfying
- In the first version of the theorem, evidently the separating hyperplane is never unique.
- A value equal to 1.0 indicates all data fit perfectly within the hyperplane.
- Together with the weights, the threshold defines a dividing hyperplane in the instance space.
- In that case, the intersection point mentioned above lies on the hyperplane at infinity.
- The locus " t " = 0 is called the hyperplane at infinity.
- The supporting hyperplane theorem is a special case of the Hahn Banach theorem of functional analysis.
- These two convex, non-intersecting sets allow us to apply the separating hyperplane theorem.
- The exponents of the monomials of a critical Lagrangian define a hyperplane in an exponent space.
- A hyperplane is a subspace of one dimension less than the dimension of the full space.
- Where is a given smooth projective variety in the ambient projective space and is a hyperplane.
- Other similar methods, such as Maximum Marginal Hyperplane, choose data with the largest W.
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