enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Sentence boundary disambiguation - Wikipedia

    en.wikipedia.org/wiki/Sentence_boundary...

    The standard 'vanilla' approach to locate the end of a sentence: [clarification needed] (a) If it is a period, it ends a sentence. (b) If the preceding token is in the hand-compiled list of abbreviations, then it does not end a sentence. (c) If the next token is capitalized, then it ends a sentence. This strategy gets about 95% of sentences ...

  3. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    Python sets are very much like mathematical sets, and support operations like set intersection and union. Python also features a frozenset class for immutable sets, see Collection types. Dictionaries (class dict) are mutable mappings tying keys and corresponding values. Python has special syntax to create dictionaries ({key: value})

  4. Cut (graph theory) - Wikipedia

    en.wikipedia.org/wiki/Cut_(graph_theory)

    A cut C = (S, T) is a partition of V of a graph G = (V, E) into two subsets S and T. The cut-set of a cut C = (S, T) is the set {(u, v) ∈ E | u ∈ S, v ∈ T} of edges that have one endpoint in S and the other endpoint in T. If s and t are specified vertices of the graph G, then an s – t cut is a cut in which s belongs to the set S and t ...

  5. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    doc2vec, generates distributed representations of variable-length pieces of texts, such as sentences, paragraphs, or entire documents. [ 14 ] [ 15 ] doc2vec has been implemented in the C , Python and Java / Scala tools (see below), with the Java and Python versions also supporting inference of document embeddings on new, unseen documents.

  6. Graph cut optimization - Wikipedia

    en.wikipedia.org/wiki/Graph_cut_optimization

    A pseudo-Boolean function: {,} is said to be representable if there exists a graph = (,) with non-negative weights and with source and sink nodes and respectively, and there exists a set of nodes = {, …,} {,} such that, for each tuple of values (, …,) {,} assigned to the variables, (, …,) equals (up to a constant) the value of the flow determined by a minimum cut = (,) of the graph such ...

  7. Maximum cut - Wikipedia

    en.wikipedia.org/wiki/Maximum_cut

    The canonical optimization variant of the above decision problem is usually known as the Maximum-Cut Problem or Max-Cut and is defined as: Given a graph G, find a maximum cut. The optimization variant is known to be NP-Hard. The opposite problem, that of finding a minimum cut is known to be efficiently solvable via the Ford–Fulkerson algorithm.

  8. Plot (graphics) - Wikipedia

    en.wikipedia.org/wiki/Plot_(graphics)

    Given a scale or ruler, graphs can also be used to read off the value of an unknown variable plotted as a function of a known one, but this can also be done with data presented in tabular form. Graphs of functions are used in mathematics , sciences , engineering , technology , finance , and other areas.

  9. Semantic network - Wikipedia

    en.wikipedia.org/wiki/Semantic_network

    Some automated reasoners exploit the graph-theoretic features of the networks during processing. Other examples of semantic networks are Gellish models. Gellish English with its Gellish English dictionary , is a formal language that is defined as a network of relations between concepts and names of concepts.