Suchergebnisse - "structured ensemble"

Multiobjective Linear Ensembles for Robust and Sparse Training of Few-Bit Neural Networks

Autoren: Ambrogio Maria Bernardelli Stefano Gualandi Simone Milanesi et al.

Weitere Verfasser: Ambrogio Maria Bernardelli Stefano Gualandi Simone Milanesi et al.

Quelle: INFORMS Journal on Computing. 37:623-643

Schlagwörter: Artificial Intelligence and Robotics, Mixed-integer linear programming, Computer Sciences, Few-shot learning, sparsity, structured ensemble, binarized neural network, Binarized neural networks, Structured ensemble, integer neural network, Multi-objective optimisation, few-shot learning, multiobjective optimization, mixed-integer linear programming, Integer neural networks, Sparsity

Dateibeschreibung: application/pdf; ELETTRONICO

Smart Collaborative Intrusion Detection System for Securing Vehicular Networks Using Ensemble Machine Learning Model

Autoren: Mostafa Mahmoud El-Gayar Faheed A. F. Alrslani Shaker El-Sappagh

Quelle: Information, Vol 15, Iss 10, p 583 (2024)

Schlagwörter: Internet of Vehicles, intrusion detection system, Dynamic Forest-Structured Ensemble Network, cybersecurity, Information technology, T58.5-58.64

Relation: https://www.mdpi.com/2078-2489/15/10/583; https://doaj.org/toc/2078-2489; https://doaj.org/article/80955e8861cb4506a0ac744db172a48f

Verfügbarkeit: https://doi.org/10.3390/info15100583
https://doaj.org/article/80955e8861cb4506a0ac744db172a48f

The BeMi Stardust: A Structured Ensemble of Binarized Neural Networks

Autoren: Ambrogio Maria Bernardelli Stefano Gualandi Hoong Chuin Lau et al.

Quelle: Lecture Notes in Computer Science ISBN: 9783031445040

Schlagwörter: Artificial Intelligence and Robotics, Mixed-integer linear programming, 4. Education, OS and Networks, 15. Life on land, 10. No inequality, 7. Clean energy, Binarized neural networks, Structured ensemble of neural networks

Dateibeschreibung: application/pdf

Combining multiple biometric traits with an order-preserving score fusion algorithm

Autoren: Yicong Liang Xiaoqing Ding Changsong Liu et al.

Quelle: Neurocomputing. 171:252-261

Schlagwörter: Order-preserving algorithm, Tree-structured ensemble, Multibiometric system, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Score fusion, 6. Clean water

Zugangs-URL: https://discovery.ucl.ac.uk/1475644/1/Yicong%20Liang-NEUCOM-2016.pdf
https://discovery.ucl.ac.uk/1475644/
https://dblp.uni-trier.de/db/journals/ijon/ijon171.html#LiangDLX16
https://www.sciencedirect.com/science/article/abs/pii/S0925231215008802
https://doi.org/10.1016/j.neucom.2015.06.039
https://core.ac.uk/display/79499478
https://discovery-pp.ucl.ac.uk/id/eprint/1475644/

Combining multiple biometric traits with an order-preserving score fusion algorithm

Autoren: Liang, Y Ding, X Liu, C et al.

Quelle: Neurocomputing , 171 pp. 252-261. (2016)

Schlagwörter: Score fusion, Multibiometric system, Order-preserving algorithm, Tree-structured ensemble

Dateibeschreibung: text

Relation: https://discovery.ucl.ac.uk/id/eprint/1475644/

Verfügbarkeit: https://discovery.ucl.ac.uk/id/eprint/1475644/1/Yicong%20Liang-NEUCOM-2016.pdf
https://discovery.ucl.ac.uk/id/eprint/1475644/