Authors: Verhulp, Julie Katherine, Van Niekerk, Adriaan
Subject Terms: Trees, Land cover mapping, Supervised classification, Decision trees -- Learning, Classifier extension, Remote sensing, Landsat-8, Learning Classifier Systems, Land use -- Remote sensing, Land use -- Research -- Methodology, Cartography -- Remote sensing, Normalised Difference Vegetation Index (NDVI), Classification and Regression Tree (CART)
File Description: 17 pages : illustrations; application/pdf
Relation: Verhulp, J. & Van Niekerk, A. 2017. Transferability of decision trees for land cover classification in a heterogeneous area. South African Journal of Geomatics, 6(1):30-46, doi:10.4314/sajg.v6i1.3; 2225-8531 (online); http://hdl.handle.net/10019.1/105246
Authors: Auret L., Aldrich C.
Subject Terms: Advanced diagnostic systems, Binary decision trees, Classification and regression tree, Complex systems, Data-driven, Dimensional spaces, Environmentally responsible, Mineral processing plants, Model response, Monitoring technologies, Nonlinear process, Process fault detection, Random forests, Rapid development, Real-world, Unsteady state, Binary trees, Fault detection, Process monitoring, Decision trees
Relation: Industrial and Engineering Chemistry Research; 49; 19; 8885885; http://hdl.handle.net/10019.1/12150
Authors: Verhulp, Julie Katherine
Contributors: Van Niekerk, Adriaan, Stellenbosch University. Faculty of Arts and Social Sciences. Dept. of Geography and Environmental Studies.
Subject Terms: Land cover, Supervised classification, Decision tree learning, Classification and Regression Tree (CART), Classifier extension, Remote sensing, Jeffries-Matusita Distance, Landsat-8, Learning Classifier Systems, UCTD
File Description: xviii, 122 pages; illustrations; application/pdf
Relation: http://hdl.handle.net/10019.1/101188
Availability: http://hdl.handle.net/10019.1/101188
Authors: Esler, William Kevin
Contributors: Seifert, T., Stellenbosch University. Faculty of AgriSciences. Dept. of Forest and Wood Science.
Subject Terms: Indirect site index, Dominant height, Initial planting density -- South Africa, Measurement age, Regression trees, Random forests -- South Africa, Hybrid model trees -- South africa, Multiple linear regression, Dissertations -- Forest and wood science, Theses -- Forest and wood science, Forest and Wood Science
File Description: 148 p.; ill.; application/pdf
Relation: http://hdl.handle.net/10019.1/20145
Availability: http://hdl.handle.net/10019.1/20145