Symbolic Logic Protected: Maximization of submodular functions and application of the greedy method (2) Sensor placement problem and active learning problem
Application of submodular function maximization and greedy methods to sensor placement and active learning problems in submodular optimization, a method of optimization of discrete information used in digital transformation, artificial intelligence, and machine learning tasks.