Michał Woźniak

Special issue HAIS 2012: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems

2015 · Neurocomputing

Dealing with distributed data is one of the challenges for clustering, as most clustering techniques require the data to be centralized. One of them, k-means, has been elected as one of the most influential data …

Increasing Depth of Neural Networks for Life-long Learning

2022 · arXiv (Cornell University)

Purpose: We propose a novel method for continual learning based on the increasing depth of neural networks. This work explores whether extending neural network depth may be beneficial in a life-long learning setting. Methods: We …

Tracking changes using Kullback-Leibler divergence for the continual learning

2022 · arXiv (Cornell University)

Recently, continual learning has received a lot of attention. One of the significant problems is the occurrence of \emph{concept drift}, which consists of changing probabilistic characteristics of the incoming data. In the case of the …