An effective ensemble classification framework using random forests and a correlation based feature selection technique

E-ISSN： 1467-9671|21|6|1165-1178

ISSN： 1361-1682

Source： TRANSACTIONS IN GIS (ELECTRONIC), Vol.21, Iss.6, 2017-12, pp. : 1165-1178

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

A framework for combining multiple soil moisture retrievals based on maximizing temporal correlation

GEOPHYSICAL RESEARCH LETTERS, Vol. 42, Iss. 16, 2015-08 ,pp. : 6662-6670

John Wiley & Sons Inc

Access to resources Recommend Favorite

Linearity aspects of the ensemble of data assimilations technique

THE QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, Vol. 141, Iss. 687, 2015-01 ,pp. : 426-432

John Wiley & Sons Inc

Access to resources Recommend Favorite

Modelling of flow‐dependent ensemble‐based background‐error correlations using a wavelet formulation in 4D‐Var at Météo‐France

THE QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, Vol. 141, Iss. 692, 2015-10 ,pp. : 2803-2812

John Wiley & Sons Inc

Access to resources Recommend Favorite

Ontological Investigation of a Multiscale Ecosystem Classification Using the “National Hierarchical Framework of Ecological Units” as an Example

By Sorokine Alexandre Bittner Thomas Renschler Chris

GeoInformatica, Vol. 10, Iss. 3, 2006-09 ,pp. : 313-335

Springer Publishing Company

Access to resources Recommend Favorite

Efficient Selection and Classification of Infrared Excess Emission Stars Based on AKARI and 2MASS Data

Proceedings of the International Astronomical Union, Vol. 12, Iss. S316, 2017-03 ,pp. : 147-148

Cambridge University Press

Access to resources Recommend Favorite