Passports and visas are currently undergoing a rapid change due to legislation being passed by authorities such as the US requirement that they should have machine readable biomet...
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Peer-to-Peer (P2P) systems share and manage huge amounts of data and resources distributed across a large number of machines. In pure P2P environments the control is totally decent...
Guided by an initial idea of building a complex (non linear) decision surface with maximal local margin in input space, we give a possible geometrical intuition as to why K-Neares...
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...