Data-driven aerospace engineering: reframing the industry with machine learning
Data science, and machine learning in particular, is rapidly transforming the scientific and
industrial landscapes. The aerospace industry is poised to capitalize on big data and …
industrial landscapes. The aerospace industry is poised to capitalize on big data and …
Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions
N Halko, PG Martinsson, JA Tropp - SIAM review, 2011 - SIAM
Low-rank matrix approximations, such as the truncated singular value decomposition and
the rank-revealing QR decomposition, play a central role in data analysis and scientific …
the rank-revealing QR decomposition, play a central role in data analysis and scientific …
[图书][B] Data-driven science and engineering: Machine learning, dynamical systems, and control
SL Brunton, JN Kutz - 2022 - books.google.com
Data-driven discovery is revolutionizing how we model, predict, and control complex
systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and …
systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and …
Randomized numerical linear algebra: Foundations and algorithms
PG Martinsson, JA Tropp - Acta Numerica, 2020 - cambridge.org
This survey describes probabilistic algorithms for linear algebraic computations, such as
factorizing matrices and solving linear systems. It focuses on techniques that have a proven …
factorizing matrices and solving linear systems. It focuses on techniques that have a proven …
TPOT: A tree-based pipeline optimization tool for automating machine learning
As data science becomes more mainstream, there will be an ever-growing demand for data
science tools that are more accessible, flexible, and scalable. In response to this demand …
science tools that are more accessible, flexible, and scalable. In response to this demand …
Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example
Abstract Resting-state functional Magnetic Resonance Imaging (R-fMRI) holds the promise
to reveal functional biomarkers of neuropsychiatric disorders. However, extracting such …
to reveal functional biomarkers of neuropsychiatric disorders. However, extracting such …
Evaluation of a tree-based pipeline optimization tool for automating data science
As the field of data science continues to grow, there will be an ever-increasing demand for
tools that make machine learning accessible to non-experts. In this paper, we introduce the …
tools that make machine learning accessible to non-experts. In this paper, we introduce the …
Combining machine learning and molecular simulations to unlock gas separation potentials of MOF membranes and MOF/polymer MMMs
Due to the enormous increase in the number of metal-organic frameworks (MOFs),
combining molecular simulations with machine learning (ML) would be a very useful …
combining molecular simulations with machine learning (ML) would be a very useful …
Automatic personality assessment through social media language.
Abstract Language use is a psychologically rich, stable individual difference with well-
established correlations to personality. We describe a method for assessing personality …
established correlations to personality. We describe a method for assessing personality …
MNE software for processing MEG and EEG data
Magnetoencephalography and electroencephalography (M/EEG) measure the weak
electromagnetic signals originating from neural currents in the brain. Using these signals to …
electromagnetic signals originating from neural currents in the brain. Using these signals to …