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Template:Machine learning/styles.css This page was last edited on 11 October 2024, at 05:09 (UTC). Text is available under the Creative Commons ...
A machine learning model is a type of mathematical model that, once "trained" on a given dataset, can be used to make predictions or classifications on new data.
Pattern recognition can be thought of in two different ways. The first concerns template matching and the second concerns feature detection. A template is a pattern used to produce items of the same proportions. The template-matching hypothesis suggests that incoming stimuli are compared with templates in the long-term memory.
The XML dialect called AIML was developed by Richard Wallace and a worldwide free software community between 1995 [citation needed] and 2002. AIML formed the basis for what was initially a highly extended Eliza called "A.L.I.C.E." ("Artificial Linguistic Internet Computer Entity"), which won the annual Loebner Prize Competition in Artificial Intelligence [3] three times, and was also the ...
Feature engineering in machine learning and statistical modeling involves selecting, creating, transforming, and extracting data features. Key components include feature creation from existing data, transforming and imputing missing or invalid features, reducing data dimensionality through methods like Principal Components Analysis (PCA), Independent Component Analysis (ICA), and Linear ...
Google Cloud Connect was a plug-in for Microsoft Office 2003, 2007, and 2010 that could automatically store and synchronize any PowerPoint presentation to Google Docs (before the introduction of Drive) in the Google Slides or PowerPoint formats. The online copy was automatically updated each time the PowerPoint document was saved.
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