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For example, a map might contain keys representing every unique word in a text and values representing the number of times that word appears in the text. A set is simply an ascending container of unique elements. As stated earlier, map and set only allow one instance of a key
Polyinstantiation in computer science is the concept of type (class, database row or otherwise) being instantiated into multiple independent instances (objects, copies). It may also indicate, such as in the case of database polyinstantiation, that two different instances have the same name (identifier, primary key).
For instance, consider "SELECT name from Student". In the case that there are multiple records with name "Sara" in the student table, all of them are shown. That means the result of an SQL query is a multiset; if the result were instead a set, the repetitive records in the result set would have been eliminated.
The multiple instance style is sometimes combined with an aliasing axiom, namely that the result of create() is distinct from any instance already in use by the algorithm. Implementations of ADTs may still reuse memory and allow implementations of create () to yield a previously created instance; however, defining that such an instance even is ...
A column selection is a text selection feature found in text editors which allows the user to select characters in a grid-like fashion, selecting characters in several lines at the same columns. This is usually initiated by pressing the alt key (instead of the shift key, which creates a continuous selection) to select text when dragging.
By Nate Raymond (Reuters) -A U.S. appeals court has halted enforcement of an anti-money laundering law that requires corporate entities to disclose the identities of their real beneficial owners ...
Jennifer Lopez is looking back on 2024 with gratitude, and toward 2025 with positivity.. The actress and singer posted a video montage recapping her year with some memorable moments featured ...
More precisely, in multiple-instance learning, the training set consists of labeled "bags", each of which is a collection of unlabeled instances. A bag is positively labeled if at least one instance in it is positive, and is negatively labeled if all instances in it are negative. The goal of the MIL is to predict the labels of new, unseen bags.