Imbedding: meaning, definitions and examples
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imbedding
[ ɪmˈbɛdɪŋ ]
mathematics, computing
Imbedding refers to the process of placing one mathematical structure within another. This concept is often used in topology and algebra, where one space is regarded as a subset of another. In computer science, embeddings are used to represent objects in a continuous vector space, capturing the semantic relationship between them. This technique is crucial for various applications, including neural networks and natural language processing.
Synonyms
embedding, entrenchment, inclusion.
Examples of usage
- The imbedding of a circle in three-dimensional space.
- We use an imbedding to analyze the behavior of the algorithm.
- The word embeddings improved the model's performance.
Translations
Translations of the word "imbedding" in other languages:
🇵🇹 incorporação
🇮🇳 आवेश
🇩🇪 Einbettung
🇮🇩 penanaman
🇺🇦 вбудовування
🇵🇱 wbudowanie
🇯🇵 埋め込み
🇫🇷 incorporation
🇪🇸 incorporación
🇹🇷 gömme
🇰🇷 임베딩
🇸🇦 تضمين
🇨🇿 vložení
🇸🇰 vkladanie
🇨🇳 嵌入
🇸🇮 vgradnja
🇮🇸 innbygging
🇰🇿 енгізу
🇬🇪 ჩადება
🇦🇿 daxiletmə
🇲🇽 incorporación
Etymology
The term 'imbedding' arises from the combination of the prefix 'im-' and the word 'bed.' The prefix 'im-' comes from Latin, meaning 'into' or 'within,' indicating the action of placing something inside another. The word 'bed,' derived from Old English 'bedd,' refers to a place where something is placed, like a bed where a person sleeps. The concept of embedding, in both mathematical and computational contexts, emerged in the 20th century as methods for analyzing complex structures became more sophisticated. Over time, the term 'embedding' became widely used in the fields of mathematics, computer science, and machine learning, providing a framework for understanding relationships and structures across various disciplines. Its application in neural network models, particularly for representing words or images as vectors, has been particularly influential in advancing the capabilities of artificial intelligence.