Dual Random Fields and Their Application to Mineral Potential Mapping

Keyphrases

• Random Field 100%
• Response Function 66%
• Spatial Uncertainty 66%
• Response Model 66%
• Mineral Potential 66%
• Remote Sensing 33%
• Geographical Location 33%
• Machine Learning Approach 33%
• Function-based 33%
• Potential Response 33%
• Geostatistics 33%
• Simulation Procedure 33%
• Uncertainty Quantification 33%
• Outcome Prediction 33%
• Satellite Imagery 33%
• Inferred Value 33%
• Geoscience 33%
• Acquisition Cost 33%
• Uncertainty Evaluation 33%
• Binary Response Model 33%
• Support Vector Classification 33%
• Remote Satellite 33%
• Geometallurgical Characterisation 33%
• Local Binary 33%
• Response-outcome 33%
• Mineral Exploration 33%
• Regionalized 33%
• Gaussian Simulation 33%
• Classical Random Field 33%
• Testing Sample 33%
• Spatial Inference 33%
• Hidden Dependencies 33%
• Metallurgical Recovery 33%
• Domain of Interest 33%
• Regionalized Variable 33%
• In Situ Investigation 33%
• Mining Operations 33%

INIS

• applications 100%
• randomness 100%
• mapping 100%
• minerals 100%
• prediction 40%
• mining 40%
• response functions 40%
• testing 20%
• values 20%
• simulation 20%
• classification 20%
• machine learning 20%
• vectors 20%
• assessments 20%
• satellites 20%
• exploration 20%
• recovery 20%
• remote sensing 20%
• cost 20%
• operation 20%
• causality 20%
• geostatistics 20%

Earth and Planetary Sciences

• Machine Learning 100%
• Uncertainty Modeling 100%
• Satellite Imagery 100%
• Geostatistics 100%
• Remote Sensing 100%
• Support Vector Machine 100%
• Earth Science 100%
• Mineral Exploration 100%