Results 11 to 20 of about 9,834 (275)

The dynamics of learning vector quantization [PDF]

, 2005
. Winner-Takes-All (WTA) algorithms offer intuitive and powerful learning schemes such as Learning Vector Quantization (LVQ) and variations thereof, most of which are heuristically motivated.
Biehl, Michael; id_orcid, Michael Biehl, Anarta Ghosh, Ghosh, Anarta, Barbara Hammer, Biehl, Michael, Hammer, Barbara   +6 more
core   +8 more sources

Federated Learning Vector Quantization

ESANN 2021 proceedings, 2021
Brinkrolf J, Hammer B. Federated Learning Vector Quantization. In: Verleysen M, ed. Proceedings of the ESANN, 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning ...
Hammer, Barbara ; https://orcid.org/, Brinkrolf, Johannes ; https://orcid.org/, Verleysen, Michel   +2 more
core   +2 more sources

Differential privacy for learning vector quantization [PDF]

Neurocomputing, 2019
Brinkrolf J, Göpfert C, Hammer B. Differential privacy for learning vector quantization. Neurocomputing.
Hammer, Barbara ; https://orcid.org/, Göpfert, Christina ; https://orcid.org/, Brinkrolf, Johannes ; https://orcid.org/   +2 more
core   +3 more sources

Divergence based Learning Vector Quantization [PDF]

, 2010
Mwebaze E, Schneider P, Schleif F-M, Haase S, Villmann T, Biehl M. Divergence based Learning Vector Quantization. In: Proceedings of ESANN 2010.
Biehl, M., Haase, S., Schleif, Frank-Michael ; https://orcid.org/, Villmann, T., Mwebaze, E., Schneider, P.   +5 more
core   +3 more sources

VQQL: Applying Vector Quantization to Reinforcement Learning [PDF]

, 2000
Reinforcement learning has proven to be a set of successful techniques for nding optimal policies on uncertain and/or dynamic domains, such as the RoboCup. One of the problems on using such techniques appears with large state and action spaces, as it
Borrajo, Daniel, Daniel Borrajo, Borrajo Millán, Daniel, O Fern, Fernández, Fernando   +4 more
core   +4 more sources

Learning vector quantization for (dis-)similarities

Neurocomputing, 2014
Hammer B, Hofmann D, Schleif F-M, Zhu X. Learning vector quantization for (dis-)similarities. NeuroComputing.
Hammer, Barbara ; https://orcid.org/, Hofmann, Daniela, Zhu, Xibin, Schleif, Frank-Michael ; https://orcid.org/   +3 more
core   +3 more sources

Distance Learning in Discriminative Vector Quantization [PDF]

Neural Computation, 2009
Discriminative vector quantization schemes such as learning vector quantization (LVQ) and extensions thereof offer efficient and intuitive classifiers based on the representation of classes by prototypes. The original methods, however, rely on the Euclidean distance corresponding to the assumption that the data can be represented by isotropic clusters.
Petra Schneider, Michael Biehl, Barbara Hammer   +2 more
openaire   +4 more sources

Quantum Computing for Efficient Learning in Prototype-based Vector Quantization [PDF]

, 2021
Prototype-based Vector Quantization is one of the key methods in data processing like data compression or interpretable classification learning. Prototype vectors serve as references for data and data classes.
Villmann, Thomas, Engelsberger, Alexander   +1 more
core   +1 more source

Prediksi Jenis Cacing Nematoda Usus Yang Menginfeksi Siswa Dengan Menggunakan Metoda LVQ

Digital Zone: Jurnal Teknologi Informasi dan Komunikasi, 2017
Abstrak-Pada saat ini, Jaringan Syaraf Tiruan (JST) telah banyak menjadi objek penelitian yang menarik, karena penerapannya sangat potensial dalam berbagai bidang sains, salah satu penerapannya didalam memprediksi penyakit. Penelitian ini bertujuan untuk
Erni Rouza
doaj   +3 more sources

Identification of Formaldehyde Bananas using Learning Vector Quantization

Indonesian Journal of Information Systems, 2021
Bananas that ripen with chemical process or do not ripen naturally usually, this can be recognized by the presence of blackish patches on the surface of the skin.
Rahmat Musa, Mutaqin Akbar
doaj   +1 more source