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Focusing on multiple dissimilar tasks at once forces the brain to process all activity in its anterior. Though the brain is complex and can perform myriad tasks, it cannot multitask well. Another study by René Marois, a psychologist at Vanderbilt University , discovered that the brain exhibits a "response selection bottleneck" when asked to ...
Computer multitasking, the concurrent execution of multiple tasks (also known as processes) over a certain period of time Cooperative multitasking; Pre-emptive multitasking; Human multitasking, the apparent performance by an individual of handling more than one task at the same time
In non-interactive execution (batch processing), a task is a unit of execution within a job, [1] [2] with the task itself typically a process. The term "multitasking" primarily refers to the processing sense – multiple tasks executing at the same time – but has nuances of the work sense of multiple tasks being performed at the same time.
British English meanings Meanings common to British and American English American English meanings daddy longlegs, daddy-long-legs crane fly: daddy long-legs spider: Opiliones: dead (of a cup, glass, bottle or cigarette) empty, finished with very, extremely ("dead good", "dead heavy", "dead rich") deceased
WordNet is the most commonly used computational lexicon of English for word-sense disambiguation (WSD), a task aimed at assigning the context-appropriate meanings (i.e. synset members) to words in a text. [14] However, it has been argued that WordNet encodes sense distinctions that are too fine-grained.
The following examples are taken from the "Abstract Algebra" and "International Law" tasks, respectively. [3] The correct answers are marked in boldface: Find all c {\displaystyle c} in Z 3 {\displaystyle \mathbb {Z} _{3}} such that Z 3 [ x ] / ( x 2 + c ) {\displaystyle \mathbb {Z} _{3}[x]/(x^{2}+c)} is a field.
A thesaurus (pl.: thesauri or thesauruses), sometimes called a synonym dictionary or dictionary of synonyms, is a reference work which arranges words by their meanings (or in simpler terms, a book where one can find different words with similar meanings to other words), [1] [2] sometimes as a hierarchy of broader and narrower terms, sometimes simply as lists of synonyms and antonyms.
Multi-task learning (MTL) is a subfield of machine learning in which multiple learning tasks are solved at the same time, while exploiting commonalities and differences across tasks. This can result in improved learning efficiency and prediction accuracy for the task-specific models, when compared to training the models separately.