— Reinforcement learning (RL) is a learning control paradigm that provides well-understood algorithms with good convergence and consistency properties. Unfortunately, these algor...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
— One of the main obstacles facing the application of computational intelligence technologies in pattern recognition (and indeed in many other tasks) is that of dataset dimension...
Address re-mapping techniques in so-called active memory systems have been shown to dramatically increase the performance of applications with poor cache and/or communication beha...
Dhiraj D. Kalamkar, Mainak Chaudhuri, Mark Heinric...
We define a new class of languages defined by multi-stack automata that forms a robust subclass of context-sensitive languages, with decidable emptiness and closure under boolea...
Salvatore La Torre, Parthasarathy Madhusudan, Genn...
This articles submits the thesis that visual data modeling and programming languages are conveniently conceived as rendering, or ‘styling’, of conventional, textual languages....