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  2. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    The negative sampling method, on the other hand, approaches the maximization problem by minimizing the log-likelihood of sampled negative instances. According to the authors, hierarchical softmax works better for infrequent words while negative sampling works better for frequent words and better with low dimensional vectors. [ 3 ]

  3. Bag-of-words model - Wikipedia

    en.wikipedia.org/wiki/Bag-of-words_model

    The bag-of-words model is commonly used in methods of document classification where, for example, the (frequency of) occurrence of each word is used as a feature for training a classifier. [1] It has also been used for computer vision .

  4. Element distinctness problem - Wikipedia

    en.wikipedia.org/wiki/Element_distinctness_problem

    If the elements in the problem are real numbers, the decision-tree lower bound extends to the real random-access machine model with an instruction set that includes addition, subtraction and multiplication of real numbers, as well as comparison and either division or remaindering ("floor"). [5]

  5. Unique games conjecture - Wikipedia

    en.wikipedia.org/wiki/Unique_games_conjecture

    The value of a unique label cover instance is the fraction of constraints that can be satisfied by any assignment. For satisfiable instances, this value is 1 and is easy to find. On the other hand, it seems to be very difficult to determine the value of an unsatisfiable game, even approximately. The unique games conjecture formalises this ...

  6. NaN - Wikipedia

    en.wikipedia.org/wiki/NaN

    Using a limited amount of NaN representations allows the system to use other possible NaN values for non-arithmetic purposes, the most important being "NaN-boxing", i.e. using the payload for arbitrary data. [23] (This concept of "canonical NaN" is not the same as the concept of a "canonical encoding" in IEEE 754.)

  7. Uniqueness quantification - Wikipedia

    en.wikipedia.org/wiki/Uniqueness_quantification

    In mathematics and logic, the term "uniqueness" refers to the property of being the one and only object satisfying a certain condition. [1] This sort of quantification is known as uniqueness quantification or unique existential quantification, and is often denoted with the symbols "∃!"

  8. Admissible heuristic - Wikipedia

    en.wikipedia.org/wiki/Admissible_heuristic

    In computer science, specifically in algorithms related to pathfinding, a heuristic function is said to be admissible if it never overestimates the cost of reaching the goal, i.e. the cost it estimates to reach the goal is not higher than the lowest possible cost from the current point in the path. [1]

  9. Universally unique identifier - Wikipedia

    en.wikipedia.org/wiki/Universally_unique_identifier

    Then 6 or 7 bits are replaced by fixed values, the 4-bit version (e.g. 0011 2 for version 3), and the 2- or 3-bit UUID "variant" (e.g. 10 2 indicating a RFC 9562 UUIDs, or 110 2 indicating a legacy Microsoft GUID). Since 6 or 7 bits are thus predetermined, only 121 or 122 bits contribute to the uniqueness of the UUID.

  1. Related searches unique value ignores nan method in python 3 and 5 and 10 questions

    unique value ignores nan method in python 3 and 5 and 10 questions and answers