2023
An, Qingci; Kevrekidis, Yannis; Lu, Fei; Maggioni, Mauro
Unsupervised learning of observation functions in state-space models by nonparametric moment methods Journal Article
In: Foundations of Data Science, 2023.
Links | BibTeX | Tags: computational mathematics, hidden Markov models, inverse problems, Machine learning, optimal transport, regression, statistics, stochastic systems, Unsupervised Learning
@article{nokey,
title = {Unsupervised learning of observation functions in state-space models by nonparametric moment methods},
author = {Qingci An and Yannis Kevrekidis and Fei Lu and Mauro Maggioni},
url = {https://arxiv.org/abs/2207.05242
https://doi.org/10.3934/fods.2023002},
doi = {10.3934/fods.2023002},
year = {2023},
date = {2023-02-01},
urldate = {2023-02-01},
journal = {Foundations of Data Science},
keywords = {computational mathematics, hidden Markov models, inverse problems, Machine learning, optimal transport, regression, statistics, stochastic systems, Unsupervised Learning},
pubstate = {published},
tppubtype = {article}
}
2006
Causevic, E; Coifman, Ronald R; Isenhart, R; Jacquin, A; John, E R; Maggioni, Mauro; Prichep, L S; Warner, F J
QEEG-based classification with wavelet packets and microstate features for triage applications in the ER Proceedings Article
In: ICASSP Proc., 2006, (10.1109/ICASSP.2006.1660859).
BibTeX | Tags: Clustering, hidden Markov models, Machine learning
@inproceedings{MM:EEG,
title = {QEEG-based classification with wavelet packets and microstate features for triage applications in the ER},
author = {E Causevic and Ronald R Coifman and R Isenhart and A Jacquin and E R John and Mauro Maggioni and L S Prichep and F J Warner},
year = {2006},
date = {2006-05-01},
volume = {3},
publisher = {ICASSP Proc.},
note = {10.1109/ICASSP.2006.1660859},
keywords = {Clustering, hidden Markov models, Machine learning},
pubstate = {published},
tppubtype = {inproceedings}
}
- Lectures at Summer School at Peking University, July 2017.
- PCMI Lectures, Summer 2016: Lecture 1, Lecture 2, Problems/discussion points
- Google Scholar
- Papers on the ArXiv
- Papers on MathsciNet
- Tutorials on diffusion geometry and multiscale analysis on graphs at the MRA Internet Program at IPAM: Part I and Part II.
- Diffusion Geometries, Diffusion Wavelets and Harmonic Analysis of large data sets, IPAM, Multiscale Geometric Analysis Program, Fall 2004.
- Diffusion Geometries, global and multiscale, IPAM, 2005.