hypothesis space
The hypothesis space in AI refers to the set of all possible models that could be considered for a given learning problem. Understanding the hypothesis space is crucial for selecting, training, and evaluating appropriate models for diverse tasks.
- Computational Efficiency under Covariate Shift in Kernel Ridge Regression
- Discovering Symbolic Partial Differential Equation by Abductive Learning
- Generalization Bounds for Kolmogorov-Arnold Networks (KANs) and Enhanced KANs with Lower Lipschitz Complexity
- MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search
- Revisiting Agnostic Boosting