2011 FeatureSelectionandEnsMeth...
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- (Okun, 2011) ⇒ Oleg Okun (editor). (2011). “Feature Selection and Ensemble Methods for Bioinformatics: Algorithmic Classification and Implementations.” In: IGI Global. ISBN: 1609605578
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Abstract
Machine learning is the branch of artificial intelligence whose goal is to develop algorithms that add learning capabilities to computers. Ensembles are an integral part of machine learning. A typical ensemble includes several algorithms performing the task of prediction of the class label or the degree of class membership for a given input presented as a set of measurable characteristics, often called features.
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| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2011 FeatureSelectionandEnsMeth... | Oleg Okun | Feature Selection and Ensemble Methods for Bioinformatics: Algorithmic Classification and Implementations | http://www.igi-global.com/bookstore/titledetails.aspx?titleid=45973 |