This paper aims to accelerate the learning process of SCNs by employing the well-known alternating direction method of multipliers (ADMM) solver and CPU-GPU ...
Jul 9, 2024 · This paper aims to accelerate the learning process of SCNs by employing the well-known alternating direction method of multipliers (ADMM) solver and CPU-GPU ...
The package makes use of both analytic- and simulation-based solution methods using a single, high-level, representation known as stochastic activity networks.
Stochastic configuration networks with CPU-GPU implementation for large-scale data analytics · List of references · Publications that cite this publication.
Stochastic configuration network (SCN) is a new powerful approach for large-scale data processing which introduces a supervisory mechanism to configure the ...
This paper presents a fast decorrelated neuro-ensemble with heterogeneous features for large-scale data analytics, where stochastic configuration networks ...
2D convolutional stochastic configuration networks. 27 Sep ... Stochastic configuration networks with CPU-GPU implementation for large-scale data analytics.
Jul 2, 2017 · This paper presents a fast decorrelated neuro-ensemble with heterogeneous features for large-scale data analytics, where stochastic configuration networks ( ...
Missing: CPU- GPU implementation
Stochastic configuration networks with CPU-GPU implementation for large-scale data analytics. 1 May 2024Information Sciences667:11 pagesElsevier. Co-authors ...
Stochastic configuration networks with CPU-GPU implementation for large-scale data analytics · Junqi Li,; Dianhui Wang · https://doi.org/10.1016/j.ins ...