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- Attribute Analysis Description: Attribute analysis in the context of unsupervised learning refers to the detailed examination of the characteristics or variables(...) Read more
- Anomaly Detection Research Description: Anomaly detection research focuses on developing new methods to identify unusual patterns in datasets. This field falls under(...) Read more
- Anomaly Detection Frameworks Description: Anomaly detection frameworks are tools and methods that allow for the identification of unusual or unexpected patterns in datasets.(...) Read more
- Anaphora Description: Anaphora is a linguistic term that refers to the use of a word or phrase to refer back to another word or phrase mentioned earlier(...) Read more
- Ambiguity Description: Ambiguity refers to the quality of being open to more than one interpretation. In the context of natural language processing (NLP),(...) Read more
- Adjective Description: An adjective is a word that describes a noun, providing additional information about it. Adjectives can indicate qualities, states,(...) Read more
- Adverb Description: The adverb is a grammatical category used to modify verbs, adjectives, or even other adverbs, providing additional information(...) Read more
- Ambiguity Resolution **Description:** Ambiguity resolution is the process of identifying and clarifying the meanings of words or phrases that may have multiple(...) Read more
- Aspectuality Description: Aspectuality is a grammatical feature that refers to how an event is temporally structured, particularly in relation to its(...) Read more
- Attribute Extraction Description: Attribute extraction is the process of identifying and extracting relevant features from a dataset for further analysis. This(...) Read more
- Annotation Tool Description: An annotation tool is software designed to add annotations to data, which is essential in the field of natural language processing(...) Read more
- Adaptive Thresholding Description: Adaptive thresholding is a technique used in anomaly detection that dynamically adjusts the decision threshold based on the(...) Read more
- Affine Transformation Description: Affine transformation is a linear mapping method that preserves the collinearity of points, as well as the parallelism(...) Read more
- Active Contour Model Description: The Active Contour Model is a technique used in computer vision to detect and delineate the contours of objects in images. This(...) Read more
- Area of Interest Description: The 'Area of Interest' (AOI) refers to a specific region within an image that is of particular interest for analysis. This concept(...) Read more
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