Matches in DBpedia 2016-04 for { <http://dbpedia.org/resource/Lazy_learning> ?p ?o }
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- Lazy_learning abstract "In machine learning, lazy learning is a learning method in which generalization beyond the training data is delayed until a query is made to the system, as opposed to in eager learning, where the system tries to generalize the training data before receiving queries.The main advantage gained in employing a lazy learning method, such as Case based reasoning, is that the target function will be approximated locally, such as in the k-nearest neighbor algorithm. Because the target function is approximated locally for each query to the system, lazy learning systems can simultaneously solve multiple problems and deal successfully with changes in the problem domain.The disadvantages with lazy learning include the large space requirement to store the entire training dataset. Particularly noisy training data increases the case base unnecessarily, because no abstraction is made during the training phase. Another disadvantage is that lazy learning methods are usually slower to evaluate, though this is coupled with a faster training phase.Lazy classifiers are most useful for large datasets with few attributes.".
- Lazy_learning wikiPageExternalLink lazy.
- Lazy_learning wikiPageExternalLink ~lazy.
- Lazy_learning wikiPageID "10747879".
- Lazy_learning wikiPageLength "1394".
- Lazy_learning wikiPageOutDegree "6".
- Lazy_learning wikiPageRevisionID "696555914".
- Lazy_learning wikiPageWikiLink Case-based_reasoning.
- Lazy_learning wikiPageWikiLink Category:Machine_learning.
- Lazy_learning wikiPageWikiLink Eager_learning.
- Lazy_learning wikiPageWikiLink Instance-based_learning.
- Lazy_learning wikiPageWikiLink K-nearest_neighbors_algorithm.
- Lazy_learning wikiPageWikiLink Machine_learning.
- Lazy_learning wikiPageWikiLinkText "Lazy learning".
- Lazy_learning wikiPageWikiLinkText "lazy learning".
- Lazy_learning wikiPageUsesTemplate Template:Tech-stub.
- Lazy_learning subject Category:Machine_learning.
- Lazy_learning hypernym Method.
- Lazy_learning type Software.
- Lazy_learning comment "In machine learning, lazy learning is a learning method in which generalization beyond the training data is delayed until a query is made to the system, as opposed to in eager learning, where the system tries to generalize the training data before receiving queries.The main advantage gained in employing a lazy learning method, such as Case based reasoning, is that the target function will be approximated locally, such as in the k-nearest neighbor algorithm.".
- Lazy_learning label "Lazy learning".
- Lazy_learning sameAs Q130657.
- Lazy_learning sameAs Lazy_learning.
- Lazy_learning sameAs Aprendizaje_vago.
- Lazy_learning sameAs Lat_læring.
- Lazy_learning sameAs Lazy_Learning.
- Lazy_learning sameAs m.02qnydy.
- Lazy_learning sameAs Q130657.
- Lazy_learning wasDerivedFrom Lazy_learning?oldid=696555914.
- Lazy_learning isPrimaryTopicOf Lazy_learning.