Regularised: meaning, definitions and examples

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regularised

 

[ หˆrษ›gjสŠlษ™raษชzd ]

Adjective
Context #1 | Adjective

mathematics, statistics

Regularised refers to the process of making something conform to a set of rules or standards. In mathematics and statistics, it often involves modifying an algorithm or model to prevent overfitting by adding additional constraints or penalties. This technique helps in improving the performance of predictive models. Regularisation is crucial in high-dimensional spaces, where models tend to capture noise instead of the underlying patterns.

Synonyms

constrained, normalised, standardised

Examples of usage

  • We applied regularised regression to improve the model's accuracy.
  • The data was regularised to ensure consistent results.
  • He used a regularised version of the algorithm for better performance.

Translations

Translations of the word "regularised" in other languages:

๐Ÿ‡ต๐Ÿ‡น regularizado

๐Ÿ‡ฎ๐Ÿ‡ณ เคจเคฟเคฏเคฎเคฟเคค

๐Ÿ‡ฉ๐Ÿ‡ช reguliert

๐Ÿ‡ฎ๐Ÿ‡ฉ teratur

๐Ÿ‡บ๐Ÿ‡ฆ ั€ะตะณัƒะปัั€ะธะทะพะฒะฐะฝะธะน

๐Ÿ‡ต๐Ÿ‡ฑ uregulowany

๐Ÿ‡ฏ๐Ÿ‡ต ่ฆๅ‰‡ๅŒ–ใ•ใ‚ŒใŸ

๐Ÿ‡ซ๐Ÿ‡ท rรฉgularisรฉ

๐Ÿ‡ช๐Ÿ‡ธ regularizado

๐Ÿ‡น๐Ÿ‡ท dรผzenlenmiลŸ

๐Ÿ‡ฐ๐Ÿ‡ท ์ •๊ทœํ™”๋œ

๐Ÿ‡ธ๐Ÿ‡ฆ ู…ู†ุชุธู…

๐Ÿ‡จ๐Ÿ‡ฟ regulovanรฝ

๐Ÿ‡ธ๐Ÿ‡ฐ regulovanรฝ

๐Ÿ‡จ๐Ÿ‡ณ ่ง„่ŒƒๅŒ–็š„

๐Ÿ‡ธ๐Ÿ‡ฎ urejen

๐Ÿ‡ฎ๐Ÿ‡ธ reglugeruรฐ

๐Ÿ‡ฐ๐Ÿ‡ฟ ั€ะตั‚ั‚ะตะปะณะตะฝ

๐Ÿ‡ฌ๐Ÿ‡ช แƒ แƒ”แƒ’แƒฃแƒšแƒแƒ แƒฃแƒšแƒ˜

๐Ÿ‡ฆ๐Ÿ‡ฟ nizamlama

๐Ÿ‡ฒ๐Ÿ‡ฝ regularizado

Word origin

The term 'regularised' comes from the word 'regular', which has its roots in the Latin word 'regularis', meaning 'according to rule'. Initially used in various fields such as linguistics and geometry to describe things that adhere to a set standard, the concept of regularisation has evolved significantly, particularly in mathematics and statistics. In these fields, regularisation techniques were developed to tackle issues related to model complexity and predictions. Over time, the methodologies behind regularisation have become foundational in machine learning and statistical analysis, aiming to enhance model generalisation to unseen data by controlling for overfitting through added constraints. As data science has grown, so has the importance of regularised methods in ensuring robust and reliable models.

Word Frequency Rank

Ranking #36,307, this word is encountered relatively rarely in everyday English. It might appear in literary works or specialized texts but isn't essential for general communication.