Separating Populations with Wide Data: A Spectral Analysis
From MaRDI portal
Publication:5387777
DOI10.1007/978-3-540-77120-3_39zbMath1193.62019arXiv0706.3434OpenAlexW1643353696MaRDI QIDQ5387777
Amin Coja-Oghlan, Shuheng Zhou, Avrim L. Blum, Alan M. Frieze
Publication date: 27 May 2008
Published in: Algorithms and Computation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/0706.3434
Sampling theory, sample surveys (62D05) Applications of statistics (62P99) Statistical distribution theory (62E99)
Cites Work
- Concentration of norms and eigenvalues of random matrices
- Evolutionary Trees Can be Learned in Polynomial Time in the Two-State General Markov Model
- On the learnability of discrete distributions
- Learning Mixtures of Product Distributions over Discrete Domains
- Some estimates of norms of random matrices
- Learning mixtures of arbitrary gaussians
- PAC Learning Axis-Aligned Mixtures of Gaussians with No Separation Assumption
- Learning Theory
- Learning nonsingular phylogenies and hidden Markov models
- Spectral norm of random matrices
- Unnamed Item
- Unnamed Item
This page was built for publication: Separating Populations with Wide Data: A Spectral Analysis
