![Statistics / Dimension reduction / C4.5 algorithm / Feature selection / K-nearest neighbor algorithm / Pattern recognition / Feature extraction / Ross Quinlan / Random forest / Machine learning / Artificial intelligence / Decision trees Statistics / Dimension reduction / C4.5 algorithm / Feature selection / K-nearest neighbor algorithm / Pattern recognition / Feature extraction / Ross Quinlan / Random forest / Machine learning / Artificial intelligence / Decision trees](https://www.pdfsearch.io/img/c5c1c9b77e07b0f4e3675296a9a1004c.jpg)
| Document Date: 2009-10-09 07:20:43 Open Document File Size: 51,54 KBShare Result on Facebook
City Leipzig / / Company IBM / John Wiley&Sons Inc. / Neural Networks / / / Facility Institute of Computer Vision / / IndustryTerm search strategies / purpose hardware / data mining applications / statistical feature search strategies / statistical classification algorithm / austenitic steel / data mining tools / Decision tree induction algorithms / greedy search / feature selection algorithm / mining / wrapper algorithms / computing / non-optimal feature search strategy / exhaustive search / particular algorithm / learning algorithm / search methods / / NaturalFeature Shannon / / Organization Institute of Computer Vision and Applied Computer Sciences Arno-Nitzsche-Str. / / Person R.Lopez de Mantaras / Eric P. Smith / M. Nadler / Morgan Kaufmann / / Product C4 / / ProgrammingLanguage C / / ProvinceOrState New York / / PublishedMedium Machine Learning / / Technology learning algorithm / particular algorithm / x-ray / wrapper algorithms / 2.2 Contextual Merit Algorithm / 2 Feature Subset Selection Algorithms / data modeling / Data Mining / feature selection algorithm / Machine Learning / statistical classification algorithm / C4.5 algorithm / Decision tree induction algorithms / / URL http /
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