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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]
Example of problem/project based learning versus reading cover to cover. The problem/project based learner may memorize a smaller amount of total information due to spending time searching for the optimal information across various sources, but will likely learn more useful items for real world scenarios, and will likely be better at knowing where to find information when needed.
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 ...
The worked-example effect is a learning effect predicted by cognitive load theory. [1] [full citation needed] Specifically, it refers to improved learning observed when worked examples are used as part of instruction, compared to other instructional techniques such as problem-solving [2] [page needed] and discovery learning.
Some examples where Barker code is used are: pet and livestock tracking, bar code scanners, inventory management, vehicle, parcel, asset and equipment tracking, inventory control, cargo and supply chain logistics. [25] It is also used extensively for Intelligent Transport Systems (ITS) i.e. for vehicle guidance [26]
Contestants from EBL member countries have achieved great success at the world level. They won 22 of 27 medals in bridge at the first World Mind Sports Games, 2008 in Beijing. There were six EBL members in the field of 22 for the last national teams world championship, the 2009 Bermuda Bowl, and all six advanced to the 8-team knockout stage. [9]
Input List of examples and predicate to be learned Output A set of first-order Horn clauses FOIL(Pred, Pos, Neg) Let Pos be the positive examples Let Pred be the predicate to be learned Until Pos is empty do: Let Neg be the negative examples Set Body to empty Call LearnClauseBody Add Pred ← Body to the rule Remove from Pos all examples which ...
An example of Electron beam lithograph setup. Electron-beam lithography (often abbreviated as e-beam lithography or EBL) is the practice of scanning a focused beam of electrons to draw custom shapes on a surface covered with an electron-sensitive film called a resist (exposing). [1]