Neural Generators of Sparse Local Linear Models for Achieving both Accuracy and Interpretability.
Yuya YoshikawaTomoharu IwataPublished in: CoRR (2020)
Keyphrases
- prediction accuracy
- genetic algorithm
- high accuracy
- least squares
- probabilistic model
- prior knowledge
- learning rules
- highly accurate
- computational models
- computational efficiency
- complex systems
- biologically plausible
- accurate models
- statistical models
- experimental data
- sparse representation
- data sets
- parameter estimation
- model selection
- markov random field
- computational cost