Found 3995 results, showing the newest relevant preprints. Sort by relevancy only.Update me on new preprints

Machine learning holography for measuring 3D particle size distribution

The results demonstrate that our approach can achieve better performance in comparison to the state-of-the-art non-machine-learning methods in terms of particle extraction rate and positioning accuracy with significantly improved processing speed. Expand abstract.
25 days ago
10/10 relevant
arXiv

Explainable Deep Relational Networks for Predicting Compound-Protein Affinities and Contacts

Our study represents the first dedicated model development and systematic model assessment for interpretable machine learning of compound-protein affinity. Expand abstract.
26 days ago
5/10 relevant
bioRxiv

Machine labor

Machine learning (ML) is mostly a predictive enterprise, while the questions of interest to labor economists are mostly causal. Expand abstract.
26 days ago
4/10 relevant
NBER

Classifying topological sector via machine learning

We employ a machine learning technique for an estimate of the topological charge $Q$ of gauge configurations in SU(3) Yang-Mills theory in vacuum. Expand abstract.
27 days ago
10/10 relevant
arXiv

Mapping biology from mouse to man using transfer learning

These results show how machine learning can be used to reconstruct complex biology from limited data and have broad implications for biomedical research. Expand abstract.
28 days ago
5/10 relevant
bioRxiv

Efficient Data Analytics on Augmented Similarity Triplets

Secondly, we also propose a novel set of algorithms for common supervised and unsupervised machine learning tasks based on triplets. Expand abstract.
28 days ago
4/10 relevant
arXiv

Completing the Market: Generating Shadow CDS Spreads by Machine Learning

The results suggest that the non-linear machine learning methods, especially the ensemble methods, add considerable value to existent credit risk prediction accuracy and enable CDS shadow pricing for companies missing those securities. Expand abstract.
29 days ago
10/10 relevant
NEP RePEc

Machine learning suggests polygenic contribution to cognitive dysfunction in amyotrophic lateral sclerosis (ALS)

Using sparse canonical correlation analysis (sCCA), an unsupervised machine-learning technique, we observed that 26 single nucleotide polymorphisms collectively associate with baseline cognitive performance in 330 ALS patients from the multicenter Clinical Research in ALS and Related Disorders for Therapeutic Development... Expand abstract.
29 days ago
10/10 relevant
medRxiv

The Application of Machine Learning Techniques for Predicting Results in Team Sport: A Review

Over the past two decades, Machine Learning (ML) techniques have been increasingly utilized for the purpose of predicting outcomes in sport. Expand abstract.
30 days ago
10/10 relevant
arXiv

Simulation of Turbulent Flow around a Generic High-Speed Train Using Hybrid Models of RANS Numerical Method with Machine Learning

As a conclusion, RF may be recommended for the prediction of aerodynamic coefficients. Expand abstract.
30 days ago
7/10 relevant
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