Discovering local geometry of low-dimensional manifold embedded into a high-dimensional space has been widely studied in the literature of machine learning. Counter-intuitively, w...
Approximate policy iteration methods based on temporal differences are popular in practice, and have been tested extensively, dating to the early nineties, but the associated conve...
Learning from end-users is essential to participatory design. In order to learn from end-users we need to find end-users to collaborate with. However, finding end-users can be the...
Rachel K. E. Bellamy, Tracee Vetting Wolf, Rhonda ...
Abstract— In this paper, we introduce a novel preimage computation technique that directly computes the circuit cofactors without an explicit search for any satisfiable solution...
This paper describes a new sampling-based heuristic for tree search named SAGE and presents an analysis of its performance on the problem of grammar induction. This last work has b...