bagging machine

См. также в других словарях:

• Bagging — can mean: *In statistics, data mining and machine learning, bootstrap aggregating *In mountaineering, peak bagging *In medicine, ventilating a patient with a bag valve mask *In agriculture, a form of reap hook bagging hook from verb to badge (or… …   Wikipedia

• Bagging Hook — A Bagging or Badging Hook (also spelled in some maker s catalogues as Fagging Hook) is a large sickle or reaping hook (also known as a reap hook or a rip hook) type of tool, usually with a cranked (i.e. offset) handle so that the user s knuckles… …   Wikipedia

• Bagging and sealing machine — Машина для укладки (товаров) в пакет и сваривания его концов …   Краткий толковый словарь по полиграфии

• Threshing machine — The thrashing machine, or, in modern spelling, threshing machine (or simply thresher), was a machine first invented by Scottish mechanical engineer Andrew Meikle for use in agriculture. It was invented (c.1784) for the separation of grain from… …   Wikipedia

• Vertical form fill sealing machine — This is a type of automated assembly line product packaging system, commonly used to in the packaging industry for food, and a wide variety of other products. The machine constructs plastic bags out of a flat roll of plastic film, while… …   Wikipedia

• Lawn mower — A typical modern gasoline powered push mower. A riding mower or ride on …   Wikipedia

• Self checkout — NCR FastLane self checkout at an IKEA store. Self checkout machines provide a mechanism for customers to pay for purchases from a retailer without direct input to the process by the retailer s staff. They are an alternative to the traditional… …   Wikipedia

• Ensembles of classifiers — Recently in the area of Machine Learning the concept of combining classifiers is proposed as a new direction for the improvement of the performance of individual classifiers. These classifiers could be based on a variety of classification… …   Wikipedia

• Bootstrap aggregating — (bagging) is a meta algorithm to improve machine learning of classification and regression models in terms of stability and classification accuracy. It also reduces variance and helps to avoid overfitting. Although it is usually applied to… …   Wikipedia

• Entscheidungsbaum — Entscheidungsbäume sind geordnete, gerichtete Bäume, die der Darstellung von Entscheidungsregeln dienen. Sie veranschaulichen hierarchisch, aufeinanderfolgende Entscheidungen. Sie haben eine Bedeutung in zahlreichen Bereichen, in denen… …   Deutsch Wikipedia

• Exploration de données — Articles principaux Exploration de données Fouille de données spatiales Fouille du web Fouille de flots de données Fouille de textes …   Wikipédia en Français