ResearchTrend.AI
Hyperdimensional computing: a fast, robust and interpretable paradigm for biological data

Hyperdimensional computing: a fast, robust and interpretable paradigm for biological data

Michiel Stock
Dimitri Boeckaerts
Pieter Dewulf
S. Taelman
Maxime Van Haeverbeke
W. Criekinge
B. De Baets
ArXivPDFHTML

Papers citing "Hyperdimensional computing: a fast, robust and interpretable paradigm for biological data"

5 / 5 papers shown
Title
The Hyperdimensional Transform for Distributional Modelling, Regression and Classification
The Hyperdimensional Transform for Distributional Modelling, Regression and Classification
Pieter Dewulf
B. De Baets
Michiel Stock
36
3
0
14 Nov 2023
Hyperdimensional computing encoding for feature selection on the use case of epileptic seizure detection
Hyperdimensional computing encoding for feature selection on the use case of epileptic seizure detection
U. Pale
T. Teijeiro
David Atienza Alonso
23
4
0
16 May 2022
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations
Denis Kleyko
D. Rachkovskij
Evgeny Osipov
Abbas Rahimi
62
116
0
11 Nov 2021
On the Binding Problem in Artificial Neural Networks
On the Binding Problem in Artificial Neural Networks
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
224
252
0
09 Dec 2020
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
228
2,231
0
24 Jun 2017