The following pages link to Learning Theory (Q4680900):
Displaying 16 items.
- Relative entropy derivative bounds (Q280464) (← links)
- Consistency and generalization bounds for maximum entropy density estimation (Q280753) (← links)
- Improved statistical models for limited datasets in uncertainty quantification using stochastic collocation (Q348261) (← links)
- Learning probabilities from random observables in high dimensions: the maximum entropy distribution and others (Q895492) (← links)
- On the performance of the flexible maximum entropy distributions within partially adaptive estimation (Q901610) (← links)
- Inferring plant ecosystem organization from species occurrences (Q1629026) (← links)
- Maximum entropy model for business cycle synchronization (Q1783062) (← links)
- Network resilience (Q2144481) (← links)
- Finite-sample equivalence in statistical models for presence-only data (Q2441833) (← links)
- Spatio-temporal spike train analysis for large scale networks using the maximum entropy principle and Monte Carlo method (Q3301544) (← links)
- Iterative Proportional Scaling Revisited: A Modern Optimization Perspective (Q3391182) (← links)
- QUADRATIC TSALLIS ENTROPY BIAS AND GENERALIZED MAXIMUM ENTROPY MODELS (Q3462271) (← links)
- Maximum Entropy Distribution Estimation with Generalized Regularization (Q5307564) (← links)
- Noise-Robust Modes of the Retinal Population Code Have the Geometry of “Ridges” and Correspond to Neuronal Communities (Q5380874) (← links)
- Statistical learning for species distribution models in ecological studies (Q6579487) (← links)
- A non-classical parameterization for density estimation using sample moments (Q6640096) (← links)
