Matches in DBpedia 2015-10 for { <http://dbpedia.org/resource/Meta_learning_(computer_science)> ?p ?o }
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- Meta_learning_(computer_science) abstract "Meta learning is a subfield of Machine learning where automatic learning algorithms are applied on meta-data about machine learning experiments. Although different researchers hold different views as to what the term exactly means (see below), the main goal is to use such meta-data to understand how automatic learning can become flexible in solving different kinds of learning problems, hence to improve the performance of existing learning algorithms.Flexibility is very important because each learning algorithm is based on a set of assumptions about the data, its inductive bias. This means that it will only learn well if the bias matches the data in the learning problem. A learning algorithm may perform very well on one learning problem, but very badly on the next. From a non-expert point of view, this poses strong restrictions on the use of machine learning or data mining techniques, since the relationship between the learning problem (often some kind of database) and the effectiveness of different learning algorithms is not yet understood.By using different kinds of meta-data, like properties of the learning problem, algorithm properties (like performance measures), or patterns previously derived from the data, it is possible to select, alter or combine different learning algorithms to effectively solve a given learning problem. Critiques of meta learning approaches bear a strong resemblance to the critique of metaheuristic, which can be said to be a related problem.".
- Meta_learning_(computer_science) wikiPageExternalLink Metalearning.
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- Meta_learning_(computer_science) wikiPageWikiLink Boosting_(machine_learning).
- Meta_learning_(computer_science) wikiPageWikiLink Boosting_(meta-algorithm).
- Meta_learning_(computer_science) wikiPageWikiLink Case-based_reasoning.
- Meta_learning_(computer_science) wikiPageWikiLink Category:Machine_learning.
- Meta_learning_(computer_science) wikiPageWikiLink Constraint_satisfaction.
- Meta_learning_(computer_science) wikiPageWikiLink Data_mining.
- Meta_learning_(computer_science) wikiPageWikiLink Database.
- Meta_learning_(computer_science) wikiPageWikiLink Inductive_bias.
- Meta_learning_(computer_science) wikiPageWikiLink Inductive_transfer.
- Meta_learning_(computer_science) wikiPageWikiLink Learning_algorithms.
- Meta_learning_(computer_science) wikiPageWikiLink Learning_classifier_system.
- Meta_learning_(computer_science) wikiPageWikiLink Learning_to_learn.
- Meta_learning_(computer_science) wikiPageWikiLink Machine_learning.
- Meta_learning_(computer_science) wikiPageWikiLink Meta-data.
- Meta_learning_(computer_science) wikiPageWikiLink Metadata.
- Meta_learning_(computer_science) wikiPageWikiLink Metaheuristic.
- Meta_learning_(computer_science) wikiPageWikiLink Multi-task_learning.
- Meta_learning_(computer_science) wikiPageWikiLink Scholarpedia.
- Meta_learning_(computer_science) wikiPageWikiLinkText "Meta learning (computer science)".
- Meta_learning_(computer_science) wikiPageWikiLinkText "meta learning".
- Meta_learning_(computer_science) wikiPageWikiLinkText "meta-learning".
- Meta_learning_(computer_science) hasPhotoCollection Meta_learning_(computer_science).
- Meta_learning_(computer_science) wikiPageUsesTemplate Template:About.
- Meta_learning_(computer_science) wikiPageUsesTemplate Template:Refimprove.
- Meta_learning_(computer_science) subject Category:Machine_learning.
- Meta_learning_(computer_science) hypernym Subfield.
- Meta_learning_(computer_science) type Disease.
- Meta_learning_(computer_science) comment "Meta learning is a subfield of Machine learning where automatic learning algorithms are applied on meta-data about machine learning experiments.".
- Meta_learning_(computer_science) label "Meta learning (computer science)".
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