КаталогКниг.РФ

On the Efficient Determination of Most Near Neighbors (Mark S. Manasse) ; Ingram

Книга: On the Efficient Determination of Most Near Neighbors (Mark S. Manasse) ; Ingram


Цены

МагазинЦенаНаличие
Лабиринт

5/5

Читай-город

5/5

МАЙШОП

5/5

Один из первых книжных интернет-магазинов, работающий с 2002 года

Как купить или где мы находимся +

Описание

The time-worn aphorism «close only counts in horseshoes and hand grenades» is clearly inadequate. Close also counts in golf, shuffleboard, archery, darts, curling, and other games of accuracy in which hitting the precise center of the target isn't to be expected every time, or in which we can expect to be driven from the target by skilled opponents. This book is not devoted to sports discussions, but to efficient algorithms for determining pairs of closely related web pages—and a few other situations in which we have found that inexact matching is good enough – where proximity suffices. We will not, however, attempt to be comprehensive in the investigation of probabilistic algorithms, approximation algorithms, or even techniques for organizing the discovery of nearest neighbors. We are more concerned with finding nearby neighbors; if they are not particularly close by, we are not particularly interested. In thinking of when approximation is sufficient, remember the oft-told joke about two campers sitting around after dinner. They hear noises coming towards them. One of them reaches for a pair of running shoes, and starts to don them. The second then notes that even with running shoes, they cannot hope to outrun a bear, to which the first notes that most likely the bear will be satiated after catching the slower of them. We seek problems in which we don't need to be faster than the bear, just faster than the others fleeing the bear.

Смотри также Характеристики.

Яндекс.Маркет


О книге

Автор(ы)
ИздательIngram
СерияSynthesis Lectures on Information Concepts, Retrieval, and Services
Форматы электронной версииEPUB
ISBN9781627054942

Отзывы (0)

    Добавить отзыв



     

    Руководства

    ADS
    закладки (0) сравнение (0)

     

    preloader

    202 ms