Spatial Ensemble Learning for Heterogeneous Geographic Data with Class Ambiguity: A Summary of Results

Mathematics

• Ensemble Learning 100%
• Ambiguity 61%
• Patch 19%
• Ensemble 18%
• Earth Observation 18%
• Class 16%
• Land Cover 16%
• Mixture of Experts 15%
• Bagging 14%
• Feature Vector 14%
• Partition 13%
• Random Forest 13%
• Experimental Evaluation 13%
• Greedy Heuristics 13%
• Boosting 12%
• Decompose 11%
• Classifier 10%
• Computational Cost 9%
• Theoretical Analysis 8%
• Vector space 7%
• Minimise 7%
• Disjoint 7%
• NP-complete problem 7%
• Spectrality 6%
• Framework 5%

Engineering & Materials Science

• Learning systems 56%
• Wetlands 28%
• Random forests 19%
• Vector spaces 19%
• NP-hard 17%
• Earth (planet) 15%
• Decomposition 13%
• Classifiers 13%
• Costs 7%

Earth & Environmental Sciences

• learning 45%
• earth observation 11%
• heuristics 11%
• land cover 8%
• wetland 8%
• decomposition 8%
• cost 5%
• analysis 2%