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Explanation-based learning (EBL) is a form of machine learning that exploits a very strong, or even perfect, domain theory (i.e. a formal theory of an application domain akin to a domain model in ontology engineering, not to be confused with Scott's domain theory) in order to make generalizations or form concepts from training examples. [1]
These are companies totally or significantly owned (directly or indirectly) by their employees. [1] Employee ownership takes different forms and one form may predominate in a particular country. For example, in the U.S. over 5,700 of the roughly 6,400 employee-owned companies have an Employee Stock Ownership Plan (ESOP). [2]
Eastern Bank PLC. (Bengali: ইস্টার্ণ ব্যাংক পিএলসি) is a private commercial bank headquartered in Dhaka, Bangladesh.[1] [2] [3] It was established on 8 August 1992, as a public limited company with limited liability under the Bank Companies Act of 1991.
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
Evidence-based library and information practice (EBLIP) or evidence-based librarianship (EBL) is the use of evidence-based practices (EBP) in the field of library and information science (LIS). This means that all practical decisions made within LIS should 1) be based on research studies and 2) that these research studies are selected and ...
An employee handbook, sometimes also known as an employee manual, staff handbook, or company policy manual, is a book given to employees by an employer. The employee handbook can be used to bring together employment and job-related information which employees need to know. It typically has three types of content: [1]
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