- data smoothing algorithm
- Statsa procedure for removing meaningless data from a sequence of observations so that a pattern can be detected
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data smoothing algorithm
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Data Smoothing — The use of an algorithm to remove noise from a data set, allowing important patterns to stand out. Data smoothing can be done in a variety of different ways, including random, random walk, moving average, simple exponential, linear exponential… … Investment dictionary
Smoothing — In statistics and image processing, to smooth a data set is to create an approximating function that attempts to capture important patterns in the data, while leaving out noise or other fine scale structures/rapid phenomena. Many different… … Wikipedia
data compression — Process of reducing the amount of data needed for storage or transmission of a given piece of information (text, graphics, video, sound, etc.), typically by use of encoding techniques. Data compression is characterized as either lossy or lossless … Universalium
Exponential smoothing — is a technique that can be applied to time series data, either to produce smoothed data for presentation, or to make forecasts. The time series data themselves are a sequence of observations. The observed phenomenon may be an essentially random… … Wikipedia
Gauss–Newton algorithm — The Gauss–Newton algorithm is a method used to solve non linear least squares problems. It can be seen as a modification of Newton s method for finding a minimum of a function. Unlike Newton s method, the Gauss–Newton algorithm can only be used… … Wikipedia
Ramer–Douglas–Peucker algorithm — The Douglas–Peucker algorithm is an algorithm for reducing the number of points in a curve that is approximated by a series of points. The initial form of the algorithm was independently suggested in 1972 by Urs Ramer and 1973 by David Douglas… … Wikipedia
Ramer-Douglas-Peucker algorithm — The Douglas Peucker algorithm is an algorithm for smoothing curves. The initial form of the algorithm was established in 1973 by David Douglas and Thomas Peucker. Idea The purpose of the algorithm is that given a curve cmposed of line segments to … Wikipedia
Hendrik Wade Bode — Infobox Scientist name = Hendrik Wade Bode image width = 162 caption = Hendrik Wade Bode birth date = birth date|1905|12|24|df=y death date = death date and age|1982|6|21|1905|12|24|df=y birth place = Madison, Wisconsin death place = Cambridge,… … Wikipedia
Word sense disambiguation — In computational linguistics, word sense disambiguation (WSD) is the process of identifying which sense of a word is used in any given sentence, when the word has a number of distinct senses. For example, consider two examples of the distinct… … Wikipedia
Patentable subject matter — Patent law (patents for inventions) … Wikipedia
Claude Shannon — Claude Elwood Shannon (1916 2001) Born April … Wikipedia
