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  2. Linear trend estimation - Wikipedia

    en.wikipedia.org/wiki/Linear_trend_estimation

    Linear trend estimation is a statistical technique used to analyze data patterns. Data patterns, or trends, occur when the information gathered, tends to increase or decrease over time, or is influenced by changes in an external factor. Linear trend estimation essentially creates a straight line on a graph of data that models the general ...

  3. List of actors who have played multiple roles in the same ...

    en.wikipedia.org/wiki/List_of_actors_who_have...

    Actors who play a character with multiple names and/or a secret identity (e.g. superheroes); Actors who play multiple copies of a single character (e.g. Vittorio Gassman and Don Adams [as St. Sauvage and Maxwell Smart, respectively] in The Nude Bomb, Hugo Weaving as Agent Smith in The Matrix series, and Tom Cruise in Oblivion);

  4. List of file formats - Wikipedia

    en.wikipedia.org/wiki/List_of_file_formats

    3D graphics are 3D models that allow building models in real-time or non-real-time 3D rendering. 3DMF – QuickDraw 3D Metafile (.3dmf) 3DM – OpenNURBS Initiative 3D Model (used by Rhinoceros 3D) (.3dm) 3MF – Microsoft 3D Manufacturing Format (.3mf) [4] 3DS – legacy 3D Studio Model (.3ds) ABC – Alembic (computer graphics) AC – AC3D ...

  5. Linear regression - Wikipedia

    en.wikipedia.org/wiki/Linear_regression

    e. In statistics, linear regression is a statistical model which estimates the linear relationship between a scalar response and one or more explanatory variables (also known as dependent and independent variables ). The case of one explanatory variable is called simple linear regression; for more than one, the process is called multiple linear ...

  6. Generative pre-trained transformer - Wikipedia

    en.wikipedia.org/wiki/Generative_pre-trained...

    Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] [18] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.

  7. Time series - Wikipedia

    en.wikipedia.org/wiki/Time_series

    Time series. In mathematics, a time series is a series of data points indexed (or listed or graphed) in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time. Thus it is a sequence of discrete-time data. Examples of time series are heights of ocean tides, counts of sunspots, and the daily ...

  8. List of data structures - Wikipedia

    en.wikipedia.org/wiki/List_of_data_structures

    Multiset (bag) Stack. Queue (example Priority queue) Double-ended queue. Graph (example Tree, Heap) Some properties of abstract data types: This article needs attention from an expert in Computer science. The specific problem is: further features needed. WikiProject Computer science may be able to help recruit an expert.

  9. Trend-stationary process - Wikipedia

    en.wikipedia.org/wiki/Trend-stationary_process

    Trend-stationary process. In the statistical analysis of time series, a trend-stationary process is a stochastic process from which an underlying trend (function solely of time) can be removed, leaving a stationary process. [1] The trend does not have to be linear.