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Found 6 papers, 0 papers with code
An Industry 4.0 example: real-time quality control for steel-based mass production using Machine Learning on non-invasive sensor data
The model achieves an excellent performance (F3-score of 0. 95) predicting material running out of specifications for the tensile strength.
Complex-valued embeddings of generic proximity data
As an information preserving alternative, we propose a complex-valued vector embedding of proximity data.
Supervised Learning in the Presence of Concept Drift: A modelling framework
We present a modelling framework for the investigation of supervised learning in non-stationary environments.
Hidden Unit Specialization in Layered Neural Networks: ReLU vs. Sigmoidal Activation
We study layered neural networks of rectified linear units (ReLU) in a modelling framework for stochastic training processes.
Segmentation of blood vessels in retinal fundus images
In recent years, several automatic segmentation methods have been proposed for blood vessels in retinal fundus images, ranging from using cheap and fast trainable filters to complicated neural networks and even deep learning.
On-line learning dynamics of ReLU neural networks using statistical physics techniques
We introduce exact macroscopic on-line learning dynamics of two-layer neural networks with ReLU units in the form of a system of differential equations, using techniques borrowed from statistical physics.
