Aston Publications Explorer
metadata only
Learning curves for Gaussian processes models: fluctuations and universality
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Dynamic models with $p$ parameters are identified by $2p+1$ random features#927385
- Evaluating the Representation Space of Diffusion Models via Self-Supervised Principles#267652
- Learning ‘Learning Curves’ with R Shiny#272850
- Bayesian Inverse Transition Learning: Learning Dynamics From Near-Optimal Trajectories#177013
- Fractional derivatives of local times for some Gaussian processes#163992
Record · ID 271630
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive