As I advanced in my last post I will try to follow up my description of the Machine Learning family by focusing today on Machine Learning itself (the perfect family parent), and the promising family offspring (hybrid systems, and modern…
In former posts I have given a quick-and-dirty overview of Machine Learning and related methodologies: “what most people call machine learning in neuroscience academic texts is known in other research contexts as pattern recognition, data mining, artificial intelligence (AI), computational…
Fusion seems, at first sight, to be a complex issue. When we hear fusion we might first associate it with the physics concept of nuclear fusion or in a more mundane sense that of music fusion. In the former, two…
As you may know if you have been following this blog ground truth plays a very important role in the implementation of machine learning algorithms for EEG data analysis. Machine learning includes several adaptive procedures. At the core of supervised…