Dynamic network reconstruction from heterogeneous datasets

INIS

• dynamics 100%
• datasets 100%
• learning 66%
• applications 33%
• perturbations 33%
• demand 33%
• interactions 33%
• structure functions 33%
• disturbances 33%
• performance 33%
• data 33%
• computerized simulation 33%
• sampling 33%

Engineering

• Dataset 100%
• Experiments 100%
• Group Sparsity 50%
• Models 25%
• Mechanisms 25%
• Computer Simulation 25%
• External Disturbance 25%
• Internals 25%
• Sparse Bayesian Learning 25%

Computer Science

• Dynamic Network 100%
• Sparsity 100%
• Practical Experience 33%
• Booleans 33%
• Underlying Network 33%
• Bayesian Learning 33%
• Extended Version 33%
• Regression Problem 33%