act Interpretation SILVIA CRAFA FRANCESCO RANZATO University of Padova, Italy We show how bisimulation equivalence and simulation preorder on probabilistic LTSs (PLTSs), namely the...
We present a unifying framework for information theoretic feature selection, bringing almost two decades of research on heuristic filter criteria under a single theoretical inter...
Gavin Brown, Adam Pocock, Ming-Jie Zhao, Mikel Luj...
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
—We propose an extension of van Lamsweerde’s goal-oriented requirements engineering to the domain of programmable DNA nanotechnology. This is a domain in which individual devic...
Robyn R. Lutz, Jack H. Lutz, James I. Lathrop, Tit...
We present a reinforcement learning architecture, Dyna-2, that encompasses both samplebased learning and sample-based search, and that generalises across states during both learni...