Found 3671 results, showing the newest relevant preprints. Sort by relevancy only.Update me on new preprints

Lithium Ion Conduction in Cathode Coating Materials from On-the-Fly Machine Learning

We demonstrate how this problem can be resolved using on-the-fly machine learning, and we validate our approach against experimental data. Expand abstract.
26 days ago
10/10 relevant
chemRxiv

Using Machine Learning to Estimate Concentrations of Non-Targeted Chemicals Without Analytical Standards

We developed two in silico quantification methods for chemicals analyzed with capillary electrophoresis electrospray ionization-mass spectrometry (CE-ESI-MS) using machine learning - a random forest (RF) and an artificial neural network (ANN). Expand abstract.
26 days ago
10/10 relevant
chemRxiv

Representation of Molecular Structures with Persistent Homology Leads to the Discovery of Molecular Groups with Enhanced CO2 Binding

The choice of such representations impacts the performance and outcomes of chemical machine learning methods. Expand abstract.
26 days ago
6/10 relevant
chemRxiv

Machine Learning Based Network Vulnerability Analysis of Industrial Internet of Things

We deploy backdoor, command injection, and Structured Query Language (SQL) injection attacks against the system and demonstrate how a machine learning based anomaly detection system can perform well in detecting these attacks. Expand abstract.
27 days ago
10/10 relevant
arXiv

Learning internal representations

Probably the most important problem in machine learning is the preliminary biasing of a learner's hypothesis space so that it is small enough to ensure good generalisation from reasonable training sets, yet large enough that it contains a good solution to the problem being learnt. Expand abstract.
27 days ago
5/10 relevant
arXiv

Iterative method of generating artificial context-free grammars

Grammatical inference is a machine learning area, whose fundamentals are built around learning sets. Expand abstract.
27 days ago
4/10 relevant
arXiv

Robots Assembling Machines: Learning from the World Robot Summit 2018 Assembly Challenge

While both camps performed reasonably well, the winning team chose a middle ground in between, combining the efficiency of established play-back programming with the autonomy gained by CAD-based object detection and force control for assembly operations. Expand abstract.
27 days ago
5/10 relevant
arXiv

Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision

While machine learning algorithms typically operate on large collections of randomly-chosen, explicitly-labeled examples, human acquisition relies more heavily on multimodal unsupervised learning (as infants) and active learning (as children). Expand abstract.
27 days ago
7/10 relevant
arXiv

Variable Star Classification Using Multi-View Metric Learning

Our multi-view metric learning framework enables robust characterization of star categories by directly learning to discriminate in a multi-faceted feature space, thus, eliminating the need to combine feature representations prior to fitting the machine learning model. Expand abstract.
27 days ago
4/10 relevant
arXiv

Learning cis-regulatory principles of ADAR-based RNA editing from CRISPR-mediated mutagenesis

We used machine learning to integrate diverse RNA sequence features and computationally predicted structures to model editing levels measured by deep sequencing and identified cis-regulatory features of RNA editing. Expand abstract.
27 days ago
4/10 relevant
bioRxiv