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Lazy loading (also known as asynchronous loading) is a technique used in computer programming, especially web design and web development, to defer initialization of an object until it is needed. It can contribute to efficiency in the program's operation if properly and appropriately used.
Use of futures may be implicit (any use of the future automatically obtains its value, as if it were an ordinary reference) or explicit (the user must call a function to obtain the value, such as the get method of java.util.concurrent.Futurein Java). Obtaining the value of an explicit future can be called stinging or forcing. Explicit futures ...
Lazy bed (Irish: ainneor or iompú; Scottish Gaelic: feannagan [ˈfjan̪ˠakən]; Faroese: letivelta) is a traditional method of arable cultivation, often used for potatoes. Rather like cord rig cultivation, parallel banks of ridge and furrow are dug by spade although lazy beds have banks that are bigger, up to 2.5 metres (8 ft 2 in) in width ...
Speculative execution is an optimization technique where a computer system performs some task that may not be needed. Work is done before it is known whether it is actually needed, so as to prevent a delay that would have to be incurred by doing the work after it is known that it is needed.
Lazy evaluation is difficult to combine with imperative features such as exception handling and input/output, because the order of operations becomes indeterminate. The opposite of lazy evaluation is eager evaluation, sometimes known as strict evaluation. Eager evaluation is the evaluation strategy employed in most [quantify] programming languages.
Eager learning is an example of offline learning, in which post-training queries to the system have no effect on the system itself, and thus the same query to the system will always produce the same result. The main disadvantage with eager learning is that it is generally unable to provide good local approximations in the target function. [2]
Amazon Basics Cooling Elevated Dog Bed $29.14 at Amazon. One of our favorite outdoor dog beds, this raised bed lifts dogs more than 7 inches off the ground and it’s lightweight enough to move ...
In machine learning, lazy learning is a learning method in which generalization of the training data is, in theory, delayed until a query is made to the system, as opposed to eager learning, where the system tries to generalize the training data before receiving queries.
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