Results 21 to 30 of about 30,682,097 (298)

Ontology–based access to temporal data with Ontop: A framework proposal

open access: yesInternational Journal of Applied Mathematics and Computer Science, 2019
Predictive analysis gradually gains importance in industry. For instance, service engineers at Siemens diagnostic centres unveil hidden knowledge in huge amounts of historical sensor data and use it to improve the predictive systems analysing live data ...
Güzel Kalayci Elem   +5 more
doaj   +1 more source

Developing free morphological data for Polish

open access: yesCognitive Studies | Études cognitives, 2015
Developing free morphological data for Polish A limiting factor in construction of Natural Language Processing (NLP) systems is often the availability of morphological resources.
Adam Radziszewski, Marek Maziarz
doaj   +1 more source

Replication Data for: Polarization Shaping of Free-Electron Radiation by Gradient Bianisotropic Metasurfaces

open access: yes, 2022
Replication Data for: Polarization Shaping of Free-Electron Radiation by Gradient Bianisotropic ...
Zhang, Baile
core   +1 more source

Reference-free phylogeny from sequencing data

open access: yesBioData Mining, 2023
Motivation Clustering of genetic sequences is one of the key parts of bioinformatics analyses. Resulting phylogenetic trees are beneficial for solving many research questions, including tracing the history of species, studying migration in the past, or ...
Petr Ryšavý, Filip Železný
doaj   +1 more source

Data of paper: Multicolor X-rays from free electron-driven van der Waals heterostructures

open access: yes, 2023
Data of paper: Multicolor X-rays from free electron-driven van der Waals ...
Duan, Ruihuan   +6 more
core   +1 more source

Sachs’ free data in real connection variables

open access: yesJournal of High Energy Physics, 2017
We discuss the Hamiltonian dynamics of general relativity with real connection variables on a null foliation, and use the Newman-Penrose formalism to shed light on the geometric meaning of the various constraints.
Elena De Paoli, Simone Speziale
doaj   +1 more source

Customizing Synthetic Data for Data-Free Student Learning

open access: yes2023 IEEE International Conference on Multimedia and Expo (ICME), 2023
Data-free knowledge distillation (DFKD) aims to obtain a lightweight student model without original training data. Existing works generally synthesize data from the pre-trained teacher model to replace the original training data for student learning.
Shiya Luo   +2 more
openaire   +3 more sources

Viscosity and effusion rate identification from free surface data

open access: yesInternational Journal of Thermofluids, 2022
Based on new explicit expressions for sensitivity coefficients, this study proposes a new method to solve two inverse problems in time-dependent three-dimensional gravity-driven thin film flow down an inclined plane governed by free-surface lubrication ...
Farzad Mohebbi, Mathieu Sellier
doaj   +1 more source

Data-Free Adversarial Distillation

open access: yesCoRR, 2019
Knowledge Distillation (KD) has made remarkable progress in the last few years and become a popular paradigm for model compression and knowledge transfer. However, almost all existing KD algorithms are data-driven, i.e., relying on a large amount of original training data or alternative data, which is usually unavailable in real-world scenarios.
Gongfan Fang   +5 more
openaire   +2 more sources

Free the Data: The End of Genetic Data as Trade Secrets [PDF]

open access: yesGenetic Testing and Molecular Biomarkers, 2013
For patients and their clinicians, broad access to information about DNA sequence variation is critical. The information is essential to interpreting the clinical significance of genetic variants, but it is not always readily available. At the present time, genetic test providers have the ability to create private databases containing information they ...
Stephanie, Nguyen, Sharon F, Terry
openaire   +2 more sources

Home - About - Disclaimer - Privacy