Found 2790 results, showing the newest relevant preprints. Sort by relevancy only.Update me on new preprints

Automation of (Macro)molecular Properties Using a Bootstrapping Swarm Artificial Neural Network Method: Databases for Machine Learning

In this study, we employed a novel method for prediction of (macro)molecular properties using a swarm artificial neural network method as a machine learning approach. Expand abstract.
6 hours ago
10/10 relevant
bioRxiv

Machine Learning for Solar Accessibility: Implications for Low-Income Solar Expansion and Profitability

Using electricity utility repayment as a proxy for solar installation repayment, shifting from a FICO score cutoff to the machine learning model increases profits by 34% to 1882% depending on the stringency used for evaluating potential customers. Expand abstract.
16 hours ago
10/10 relevant
NBER

MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection

The purpose of releasing the MIMII dataset is to assist the machine-learning and signal-processing community with their development of automated facility maintenance. Expand abstract.
3 days ago
7/10 relevant
arXiv

Nonparametric learning for impulse control problems

One of the fundamental assumptions in stochastic control of continuous time processes is that the dynamics of the underlying (diffusion) process is known. Expand abstract.
3 days ago
4/10 relevant
arXiv

Exploring Diamond-Like Lattice Thermal Conductivity Crystals via Feature-Based Transfer Learning

Models using machine learning can search for materials with outstanding higher-order properties like thermal conductivity. Expand abstract.
3 days ago
4/10 relevant
chemRxiv

ConnectedReads: machine-learning optimized long-range genome analysis workflow for next-generation sequencing

Furthermore, we demonstrate a cost-effective approach by leveraging ConnectedReads to investigate all spectra of genetic changes in population-scale studies. Expand abstract.
3 days ago
8/10 relevant
bioRxiv

Machine learning based prediction of antibiotic sensitivity in patients with critical illness

To predict antibiotic sensitivity at the level of individual patients we developed an ensemble of machine learning algorithms. Expand abstract.
3 days ago
10/10 relevant
medRxiv

Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks

Using a collection of 121 real-world datasets from the UCI Machine Learning Repository, we empirically show that the proposed approach demonstrates higher average accuracy than the conventional RVFL. Expand abstract.
4 days ago
4/10 relevant
arXiv

Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

An important research direction in machine learning has centered around developing meta-learning algorithms to tackle few-shot learning. Expand abstract.
4 days ago
5/10 relevant
arXiv

A consensus-based global optimization method for high dimensional machine learning problems

We also conduct numerical tests to high dimensional problems to check the success rate of the method. Expand abstract.
4 days ago
7/10 relevant
arXiv