A framework for offline evaluation and optimization of real-time algorithms for use in neurofeedback, demonstrated on an instantaneous proxy for correlations.
Michal RamotJavier Gonzalez-CastilloPublished in: NeuroImage (2019)
Keyphrases
- real time
- learning algorithm
- theoretical analysis
- optimization methods
- data structure
- efficient optimization
- computational cost
- evaluation metrics
- test beds
- optimization approaches
- kernel machines
- times faster
- computationally efficient
- linear programming
- optimization problems
- significant improvement
- control system
- machine learning
- vision system
- main contribution
- optimization method
- combinatorial optimization
- worst case
- evaluation method
- probabilistic model
- complexity analysis
- optimization scheme
- evolutionary algorithm
- approximately optimal