embeddings's Usage Examples:

) Given X and Y, several different embeddings of X in Y may be possible.

Word embeddings can be obtained using a set of language modeling and feature learning.

quadratic field Q(√−a) admits no real embeddings but admits a conjugate pair of complex embeddings.

One of these embeddings sends √−a to √−a, while the other.

theorem is for continuously differentiable (C1) embeddings and the second for analytic embeddings or embeddings that are smooth of class Ck, 3 ≤ k ≤ ∞.

topology is the study of manifolds and maps between them, particularly embeddings of one manifold into another.

book embedding is a generalization of planar embedding of a graph to embeddings into a book, a collection of half-planes all having the same line as their.

some categories, one can also speak of morphisms of the category being embeddings.

Word2vec is a group of related models that are used to produce word embeddings.

Whenever one embeds K and L in such a field M, say using embeddings α of K and β of L, there results a ring homomorphism γ from K ⊗ N L {\displaystyle.

The term knot is also applied to embeddings of S j in Sn, especially in the case j = n − 2.

Embeddable Web service component: example embeddings include Spring Framework and Geronimo.

These characters are subdivided into "marks", "embeddings", "isolates", and "overrides".

Embeddings with the same rotation system are considered to be equivalent and the corresponding equivalence class of embeddings is called combinatorial.

It studies the embedding of graphs in surfaces, spatial embeddings of graphs, and graphs as topological spaces.

that is looped above right provides an example of a homotopy between two embeddings, f and g, of the torus into R3.

Elementary embeddings are the most important maps in model theory.

In set theory, elementary embeddings whose domain is V (the universe.

+ r2 − 1 where r1 is the number of real embeddings and r2 the number of conjugate pairs of complex embeddings of K.

a graph, and the connection between this decomposition and the planar embeddings of a planar graph, were first investigated by Saunders Mac Lane (1937);.

high-dimensional space are related, and then chooses low-dimensional embeddings which produce a similar distribution.