Matches in DBpedia 2016-04 for { <http://dbpedia.org/resource/Learnable_function_class> ?p ?o }
Showing triples 1 to 37 of
37
with 100 triples per page.
- Learnable_function_class abstract "In statistical learning theory, a learnable function class is a set of functions for which an algorithm can be devised to asymptotically minimize the expected risk, uniformly over all probability distributions. The concept of learnable classes are closely related to regularization in machine learning, and provides large sample justifications for certain learning algorithms.".
- Learnable_function_class wikiPageID "48827727".
- Learnable_function_class wikiPageLength "9346".
- Learnable_function_class wikiPageOutDegree "20".
- Learnable_function_class wikiPageRevisionID "696310007".
- Learnable_function_class wikiPageWikiLink Bias–variance_tradeoff.
- Learnable_function_class wikiPageWikiLink Category:Machine_learning.
- Learnable_function_class wikiPageWikiLink Cross-validation_(statistics).
- Learnable_function_class wikiPageWikiLink Duality.
- Learnable_function_class wikiPageWikiLink Empirical_process.
- Learnable_function_class wikiPageWikiLink Empirical_risk_minimization.
- Learnable_function_class wikiPageWikiLink Expected_risk.
- Learnable_function_class wikiPageWikiLink Function_(mathematics).
- Learnable_function_class wikiPageWikiLink General_Setting_of_Learning.
- Learnable_function_class wikiPageWikiLink Glivenko–Cantelli_theorem.
- Learnable_function_class wikiPageWikiLink Machine_learning.
- Learnable_function_class wikiPageWikiLink No_free_lunch_theorem.
- Learnable_function_class wikiPageWikiLink Overfitting.
- Learnable_function_class wikiPageWikiLink Regularization_(mathematics).
- Learnable_function_class wikiPageWikiLink Reproducing_kernel_Hilbert_space.
- Learnable_function_class wikiPageWikiLink Set_(mathematics).
- Learnable_function_class wikiPageWikiLink Statistical_learning_theory.
- Learnable_function_class wikiPageWikiLink Stochastic_convex_optimization.
- Learnable_function_class wikiPageWikiLink Tikhonov_regularization.
- Learnable_function_class wikiPageUsesTemplate Template:Disambiguation_needed.
- Learnable_function_class wikiPageUsesTemplate Template:EquationNote.
- Learnable_function_class wikiPageUsesTemplate Template:EquationRef.
- Learnable_function_class wikiPageUsesTemplate Template:NumBlk.
- Learnable_function_class wikiPageUsesTemplate Template:See_also.
- Learnable_function_class subject Category:Machine_learning.
- Learnable_function_class hypernym Set.
- Learnable_function_class type Thing.
- Learnable_function_class comment "In statistical learning theory, a learnable function class is a set of functions for which an algorithm can be devised to asymptotically minimize the expected risk, uniformly over all probability distributions. The concept of learnable classes are closely related to regularization in machine learning, and provides large sample justifications for certain learning algorithms.".
- Learnable_function_class label "Learnable function class".
- Learnable_function_class seeAlso Statistical_learning_theory.
- Learnable_function_class wasDerivedFrom Learnable_function_class?oldid=696310007.
- Learnable_function_class isPrimaryTopicOf Learnable_function_class.