Active learning applied to RCS computations with nonuniform sampling using different objective functions

Computer Science

• Computation 100%
• Objective Function 100%
• Parametric Model 100%
• Active Learning 100%
• Frequency Point 100%
• Computational Modeling 100%
• Algorithms 50%
• Numerical Computation 50%
• Parameter Model 50%
• Least Squares Methods 50%
• Uniform Sampling 50%
• Learning Framework 50%
• Fisher Information Matrix 50%
• Incident Angle 50%
• Contexts 50%

Mathematics

• Objective Function 100%
• Nonuniform 100%
• Points 100%
• Number 50%
• Computational Model 33%
• Parametric Model 33%
• Parameters 33%
• Numerical Computation 16%
• Least Square 16%
• Fisher Information Matrix 16%
• Algorithm 16%
• Edge 16%

INIS

• calculation methods 100%
• sampling 100%
• learning 100%
• scattering 40%
• algorithms 20%
• information 20%
• matrices 20%
• space 20%
• orientation 20%
• incidents 20%
• least square fit 20%