Kerneled: meaning, definitions and examples
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kerneled
[ ˈkɜrnəld ]
computer science
Kerneled refers to something that has been modified or adapted to utilize a kernel function, especially in machine learning or data processing contexts. In this sense, it often pertains to algorithms or software that perform operations in a transformed feature space rather than the original space. This transformation can enhance the ability to classify or regress data points by enabling nonlinear relationships to be modeled more effectively.
Synonyms
adapted, modified, transformed.
Examples of usage
- The images were kerneled for better analysis.
- Kerneled SVMs can achieve high accuracy in classification tasks.
- Data science frequently employs kerneled approaches to improve performance.
Translations
Translations of the word "kerneled" in other languages:
🇵🇹 com núcleo
🇮🇳 कर्नेल्ड
🇩🇪 kernelt
- mit Kern
- mit Nüssen
🇮🇩 berinti
🇺🇦 ядровий
🇵🇱 jądrowy
🇯🇵 カーネル化された
🇫🇷 noyauté
🇪🇸 nucleado
🇹🇷 çekirdekli
🇰🇷 커널화된
🇸🇦 مُعَصَّب
🇨🇿 jádrový
🇸🇰 jadrový
🇨🇳 核心的
🇸🇮 jedrnat
🇮🇸 kjarnaður
🇰🇿 ядролық
🇬🇪 ბირთვული
🇦🇿 nüvəli
🇲🇽 con núcleo
Etymology
The term 'kerneled' derives from the word 'kernel,' which originates from the Old English 'cyrnel,' meaning the inner part of a seed or grain. In mathematics and computer science, the term was adapted to describe a function or a data structure that serves as the core component of certain algorithms. The concept of kernel methods emerged in the late 20th century, especially with the rise of support vector machines (SVMs) and other machine learning techniques. These methods utilize kernel functions to transform data into higher dimensions, where linear separation is more feasible. As machine learning has gained prominence, the usage of 'kerneled' has expanded to signify processes or methods that leverage this foundational concept.