Linearly scalable learning of smooth low-dimensional patterns with permutation-aided entropic dimension reduction
From MaRDI portal
Publication:6644161
DOI10.2140/CAMCOS.2024.19.87MaRDI QIDQ6644161
Publication date: 27 November 2024
Published in: Communications in Applied Mathematics and Computational Science (Search for Journal in Brave)
Computational learning theory (68Q32) Artificial intelligence (68T99) General topics in artificial intelligence (68T01)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Fuzzy spectral clustering by PCCA+: application to Markov state models and data classification
- Identification of almost invariant aggregates in reversible nearly uncoupled Markov chains
- Tikhonov regularization and the L-curve for large discrete ill-posed problems
- Introduction to algorithms
- On convex relaxation of graph isomorphism
- On Markov state models for metastable processes
- Lectures on Polytopes
- eSPA+: Scalable Entropy-Optimal Machine Learning Classification for Small Data Problems
- On a Scalable Entropic Breaching of the Overfitting Barrier for Small Data Problems in Machine Learning
This page was built for publication: Linearly scalable learning of smooth low-dimensional patterns with permutation-aided entropic dimension reduction
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6644161)