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  2. Bootstrapping (linguistics) - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping_(linguistics)

    Bootstrapping is a term used in language acquisition in the field of linguistics. It refers to the idea that humans are born innately equipped with a mental faculty that forms the basis of language. It is this language faculty that allows children to effortlessly acquire language. [1] As a process, bootstrapping can be divided into different ...

  3. Memory and retention in learning - Wikipedia

    en.wikipedia.org/wiki/Memory_and_Retention_in...

    Long-term memory is the site for which information such as facts, physical skills and abilities, procedures and semantic material are stored. Long-term memory is important for the retention of learned information, allowing for a genuine understanding and meaning of ideas and concepts. [6] In comparison to short-term memory, the storage capacity ...

  4. Bootstrapping - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping

    In computer technology, the term bootstrapping refers to language compilers that are able to be coded in the same language. (For example, a C compiler is now written in the C language. Once the basic compiler is written, improvements can be iteratively made, thus pulling the language up by its bootstraps).

  5. Temporal difference learning - Wikipedia

    en.wikipedia.org/wiki/Temporal_difference_learning

    v. t. e. Temporal difference ( TD) learning refers to a class of model-free reinforcement learning methods which learn by bootstrapping from the current estimate of the value function. These methods sample from the environment, like Monte Carlo methods, and perform updates based on current estimates, like dynamic programming methods. [1]

  6. Bootstrap aggregating - Wikipedia

    en.wikipedia.org/wiki/Bootstrap_aggregating

    v. t. e. Bootstrap aggregating, also called bagging (from b ootstrap agg regat ing ), is a machine learning ensemble meta-algorithm designed to improve the stability and accuracy of machine learning algorithms used in statistical classification and regression. It also reduces variance and helps to avoid overfitting.

  7. Bootstrapping (statistics) - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping_(statistics)

    The bootstrap is a powerful technique although may require substantial computing resources in both time and memory. Some techniques have been developed to reduce this burden. They can generally be combined with many of the different types of Bootstrap schemes and various choices of statistics. Poisson bootstrap

  8. Semantic bootstrapping - Wikipedia

    en.wikipedia.org/wiki/Semantic_bootstrapping

    Semantic bootstrapping. Semantic bootstrapping is a linguistic theory of child language acquisition which proposes that children can acquire the syntax of a language by first learning and recognizing semantic elements and building upon, or bootstrapping from, that knowledge. [1] This theory proposes that children, when acquiring words, will ...

  9. Associative memory (psychology) - Wikipedia

    en.wikipedia.org/wiki/Associative_memory...

    Associative memory (psychology) In psychology, associative memory is defined as the ability to learn and remember the relationship between unrelated items. This would include, for example, remembering the name of someone or the aroma of a particular perfume. [1] This type of memory deals specifically with the relationship between these ...

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