Selection of relevant features and examples in machine learning
- 1 December 1997
- journal article
- review article
- Published by Elsevier BV in Artificial Intelligence
- Vol. 97 (1-2), 245-271
- https://doi.org/10.1016/s0004-3702(97)00063-5
Abstract
No abstract availableKeywords
This publication has 66 references indexed in Scilit:
- SmcHD1, containing a structural-maintenance-of-chromosomes hinge domain, has a critical role in X inactivationNature Genetics, 2008
- Dynamic relevance: vision-based focus of attention using artificial neural networksArtificial Intelligence, 1997
- Knowing what doesn't matter: exploiting the omission of irrelevant dataArtificial Intelligence, 1997
- The perceptron algorithm versus winnow: linear versus logarithmic mistake bounds when few input variables are relevantArtificial Intelligence, 1997
- Wrappers for feature subset selectionArtificial Intelligence, 1997
- Learning in the Presence of Finitely or Infinitely Many Irrelevant AttributesJournal of Computer and System Sciences, 1995
- Learning read-once formulas with queriesJournal of the ACM, 1993
- Learning boolean functions in an infinite attribute spaceMachine Learning, 1992
- A framework for average case analysis of conjunctive learning algorithmsMachine Learning, 1992
- Learnability and the Vapnik-Chervonenkis dimensionJournal of the ACM, 1989