Beyer O, Cimiano P. Online labelling strategies for growing neural gas. In: Yin H, ed. Intelligent Data Engineering and Automated Learning - IDEAL 2011: 12th International Conference, Norwich, UK, September 7-9, 2011. Proceedings. Lecture Notes in Computer Science. Vol 6936. Berlin, Heidelberg: Springer; 2011: 76-83
Augmenting a neural network with memory that can grow without growing the number of trained paramete...
This thesis focuses on the development of new batch/online learning algorithms for evolving spiking ...
With the increased availability of new and better computer processing units (CPUs) as well as graphi...
Beyer O, Cimiano P. Online semi-supervised growing neural gas. International Journal of Neural Syste...
Panzner M, Beyer O, Cimiano P. Human Activity Classification with Online Growing Neural Gas. In: Wo...
Kortkamp M, Wachsmuth S. Continuous Visual Codebooks with a Limited Branching Tree Growing Neural Ga...
This paper aims to address the ability of self-organizing neural network models to manage real-time ...
Applications that generate huge amounts of data in the form of fast streams are becoming increasingl...
“The original publication is available at www.springerlink.com”. Copyright Springer.This paper descr...
International audienceWe propose an unsupervised online learning method based on the "growing neural...
International audienceDuring the last years, Deep Neural Networks have reached the highest performan...
An ever increasing volume of data is nowadays becoming available in a streaming manner in many appli...
Self-Organising Map (SOM), an unsupervised neural network, has proved to be very efficient in classi...
Learning in neural networks can broadly be divided into two categories, viz., off-line (or batch) le...
In interactive machine learning, human users and learning algorithms work together in order to solve...
Augmenting a neural network with memory that can grow without growing the number of trained paramete...
This thesis focuses on the development of new batch/online learning algorithms for evolving spiking ...
With the increased availability of new and better computer processing units (CPUs) as well as graphi...
Beyer O, Cimiano P. Online semi-supervised growing neural gas. International Journal of Neural Syste...
Panzner M, Beyer O, Cimiano P. Human Activity Classification with Online Growing Neural Gas. In: Wo...
Kortkamp M, Wachsmuth S. Continuous Visual Codebooks with a Limited Branching Tree Growing Neural Ga...
This paper aims to address the ability of self-organizing neural network models to manage real-time ...
Applications that generate huge amounts of data in the form of fast streams are becoming increasingl...
“The original publication is available at www.springerlink.com”. Copyright Springer.This paper descr...
International audienceWe propose an unsupervised online learning method based on the "growing neural...
International audienceDuring the last years, Deep Neural Networks have reached the highest performan...
An ever increasing volume of data is nowadays becoming available in a streaming manner in many appli...
Self-Organising Map (SOM), an unsupervised neural network, has proved to be very efficient in classi...
Learning in neural networks can broadly be divided into two categories, viz., off-line (or batch) le...
In interactive machine learning, human users and learning algorithms work together in order to solve...
Augmenting a neural network with memory that can grow without growing the number of trained paramete...
This thesis focuses on the development of new batch/online learning algorithms for evolving spiking ...
With the increased availability of new and better computer processing units (CPUs) as well as graphi...