: The generic problem of estimation and inference given a sequence of i.i.d. samples has been extensively studied in the statistics, property testing, and learning communities. A n...
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
Abstract. Classical probability theory considers probability distributions that assign probabilities to all events (at least in the finite case). However, there are natural situat...
Alexey V. Chernov, Alexander Shen, Nikolai K. Vere...
An algorithm for learning a subclass of erasing regular pattern languages is presented. On extended regular pattern languages generated by patterns π of the form x0α1x1 . . . α...
Abstract— Over the last decade, the design of ultra-lowpower digital circuits in subthreshold regime has been driven by the quest for minimum energy per operation. In this contri...
David Bol, Renaud Ambroise, Denis Flandre, Jean-Di...