Losses and objectives · MLD-1178
Structural risk minimization
Balancing empirical fit with a hierarchy or measure of model complexity.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Choose among hypothesis classes with complexity penalties.
Original caveat
Its formal guarantees depend on specified complexity assumptions.
Context and aliases
Level: Intermediate. Stages: Theory · Training · Evaluation.
Tags: ML · DL · SLM · LLM.
Aliases: SRM.
Related concepts
Original references
- Deep Learning: online textbook ↗ · Consulted
- scikit-learn: evaluation metrics ↗ · Reference link
- PyTorch neural-network layers ↗ · Reference link
- Original reference URL ↗