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The word embedding approach is able to capture multiple different degrees of similarity between words. Mikolov et al. (2013) [ 26 ] found that semantic and syntactic patterns can be reproduced using vector arithmetic.
The use of frequency of repetition aids in the retrieval of relevant instances. The idea behind this phenomenon is that the more an instance is repeated within a category or list, the stronger the link between the two instances becomes. Individuals then use the strong association between the instances to determine the frequency of an instance.
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.
A hypervisor, also known as a virtual machine monitor (VMM) or virtualizer, is a type of computer software, firmware or hardware that creates and runs virtual machines.A computer on which a hypervisor runs one or more virtual machines is called a host machine, and each virtual machine is called a guest machine.
Microsoft Word 2003: MDI until Microsoft Office 97. After 2000, Word has a Multiple Top-Level Windows Interface, thus exposing to shell individual SDI instances, while the operating system recognizes it as a single instance of an MDI application. In Word 2000, this was the only interface available, but 2002 and later offer MDI as an option.
Their approach was to regard each molecule as a labeled bag, and all the alternative low-energy shapes of that molecule as instances in the bag, without individual labels. Thus formulating multiple-instance learning. Solution to the multiple instance learning problem that Dietterich et al. proposed is the axis-parallel rectangle (APR) algorithm ...
A concept search (or conceptual search) is an automated information retrieval method that is used to search electronically stored unstructured text (for example, digital archives, email, scientific literature, etc.) for information that is conceptually similar to the information provided in a search query.
Algorithm selection (sometimes also called per-instance algorithm selection or offline algorithm selection) is a meta-algorithmic technique to choose an algorithm from a portfolio on an instance-by-instance basis. It is motivated by the observation that on many practical problems, different algorithms have different performance characteristics.