Back to Results
First PageMeta Content
Artificial intelligence / Numerical analysis / Machine learning / C4.5 algorithm / Learning Vector Quantization / Decision tree learning / Discretization / Vector quantization / Mathematics / Decision trees / Computational statistics


Multi-Interval Discretization Methods for Decision Tree Learning
Add to Reading List

Document Date: 2009-10-09 07:20:51


Open Document

File Size: 161,17 KB

Share Result on Facebook

City

Monterey / Histogram / Los Altos / Chambery / Hamburg / Leipzig / /

Company

Symbolic Decision Tree Induction for Interpretation / /

Country

Germany / France / /

/

Event

M&A / /

Facility

Sascha Trautzsch Institute of Computer Vision / /

IndustryTerm

surface inspection systems / The learning algorithm / supervised learning algorithm / satellite domain / satellite images / learning algorithm / Decision tree learning algorithms / /

MarketIndex

set 155 / /

Organization

European Commission / Decision Tree Learning Petra Perner and Sascha Trautzsch Institute of Computer Vision / Purdue Univ. / /

Person

Wc / Morgan Kaufmann / /

Product

C4 / /

ProgrammingLanguage

C* / /

ProvinceOrState

California / Colorado / /

PublishedMedium

Machine Learning / /

Technology

The learning algorithm / learning algorithm / Remote Sensing / normal C4.5 algorithm / supervised learning algorithm / LVQ algorithm / Machine Learning / Decision tree learning algorithms / C4.5 algorithm / 2.1 algorithm / The ChiMerge algorithm / /

URL

http /

SocialTag