Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
The journal and in particular the resource reviews have been running for ten years. There are a number of activities being planned to celebrate. However it is a good time to revisi...
While support vector machines (SVMs) have shown great promise in supervised classification problems, researchers have had to rely on expert domain knowledge when choosing the SVM&...
This paper presents a new approach to reversible cascade evolution based on a 3D cellular automaton. As a research platform we used the ATR’s CAMBrain Machine (CBM). Reversible ...
Ensembles of learning machines have been formally and empirically shown to outperform (generalise better than) single predictors in many cases. Evidence suggests that ensembles ge...