Related content

Imputation of missing values for semi-supervised data using the proximity in random forests

By Ishioka Tsunenori  

International Journal of Business Intelligence and Data Mining, Vol. 8, Iss. 2, 2013-11 ,pp. : 155-166

Inderscience Publishers

Access to resources Recommend Favorite

First order random forests: Learning relational classifiers with complex aggregates

By Assche Anneleen  

Machine Learning, Vol. 64, Iss. 1-3, 2006-09 ,pp. : 149-182

Springer Publishing Company

Access to resources Recommend Favorite

Mining data with random forests: current options for real‐world applications

By  

WILEY INTERDISCIPLINARY REVIEWS: DATA MINING AND KNOWLEDGE DISCOVERY (ELECTRONIC), Vol. 4, Iss. 1, 2014-01 ,pp. : 55-63

John Wiley & Sons Inc

Access to resources Recommend Favorite

A comparison of Gaussian process regression, random forests and support vector regression for burn severity assessment in diseased forests

By      

Remote Sensing Letters, Vol. 5, Iss. 8, 2014-08 ,pp. : 723-732

Taylor & Francis Ltd

Access to resources Recommend Favorite

Study of interaction in spray between evaporating droplets and turbulence using second order turbulence RANS modelling and a Lagrangian approach

By Chrigui M.   Sadiki A.   Ahmadi G.  

Progress in Computational Fluid Dynamics, An International Journal, Vol. 4, Iss. 3-4, 2004-05 ,pp. : 162-174

Inderscience Publishers

Access to resources Recommend Favorite