Results 121 to 130 of about 7,806,329 (300)
Position: topological deep learning is the new frontier for relational learning
Topological deep learning (TDL) is a rapidly evolving field that uses topological features to understand and design deep learning models. This paper posits that TDL is the new frontier for relational learning.
Nasrin, F +21 more
core
Practical Applications of Signal Processing and Machine Learning in a Dynamic Retail Environment
, 2018 Presented on October 31, 2018 at 12:15 p.m. in the Marcus Nanotechnology Building, Room 1116.Graham Poliner is the SVP of Strategy and Analytics at Macy’s, Inc.
Poliner, Graham
core +1 more source
Advanced Engineering Materials, EarlyView.A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Variational multiple shooting for Bayesian ODEs with Gaussian processes
, 2022 Recent machine learning advances have proposed black-box estimation of unknown continuous-time system dynamics directly from data. However, earlier works are based on approximative solutions or point estimates.
Yildiz, Cagatay +5 more
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Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
Advanced Engineering Materials, EarlyView.A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
Gaussian Processes with Bayesian Inference of Covariate Couplings
Publisher Copyright: © 2025, Transactions on Machine Learning Research. All rights reserved.Gaussian processes are powerful probabilistic models that are often coupled with Automatic Relevance Determination (ard) capable of uncovering the importance of ...
Rosso, Mattia +4 more
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Review: machine learning techniques applied to cybersecurity
, 2019 Machine learning techniques are a set of mathematical models to solve high non-linearity problems of different topics: prediction, classification, data association, data conceptualization.
Paulino J. García-Nieto +8 more
core +1 more source
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Advanced Engineering Materials, EarlyView.Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
A scalable hybrid training approach for recurrent spiking neural networks
Neuromorphic Computing and EngineeringRecurrent spiking neural networks (RSNNs) can be implemented very efficiently in neuromorphic systems. Nevertheless, training of these models with powerful gradient-based learning algorithms is mostly performed on standard digital hardware using ...
Maximilian Baronig +3 more
doaj +1 more source