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Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
Concept learning has been historically studied with deep influences from goals and functions that concepts are assumed to have. Research has investigated how function of concepts influences the learning process, which focuses on the external function. Focusing on different models for concept attainment research would expand studies in this field.
The teacher says using class time for following up on homework gives that connection to what is learned in the class, noting, "In the initial step students complete and submit (traditional) homework assignments electronically, and then later they revisit their work through presentations of selected problems during class.
A concept inventory is a criterion-referenced test designed to help determine whether a student has an accurate working knowledge of a specific set of concepts. Historically, concept inventories have been in the form of multiple-choice tests in order to aid interpretability and facilitate administration in large classes.
A Rhode Island man has admitted to using gasoline to set several fires around the exterior of a predominantly Black church earlier this year, according to a federal plea agreement.
Every year, celebrities try to capitalize on the holiday season by releasing festive music. Singers like Mariah Carey, Ariana Grande, and Michael Bublé managed to perfect the cheesy art form ...
A fight broke out on the football field after the University of Michigan beat Ohio State University in a 13-10 upset on Saturday. Video of the incident showed players on the two rival teams ...
Concept class terminology frequently appears in model theory associated with probably approximately correct (PAC) learning. [1] In this setting, if one takes a set Y as a set of (classifier output) labels, and X is a set of examples, the map c : X → Y {\displaystyle c:X\to Y} , i.e. from examples to classifier labels (where Y = { 0 , 1 ...