Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
The deletion–contraction algorithm is perhaps the most popular method for computing a host of fundamental graph invariants such as the chromatic, flow, and reliability polynomi...
We propose a self-organizing sleep-wake sensor system that is scalable, easily implemented, and energy conserving. An application of concepts from cellular automata theory account...
Kyung Joon Kwak, Yuliy M. Baryshnikov, Edward G. C...
This paper proposes a library-free technology mapping algorithm to reduce delay in combinational circuits. The algorithm reduces the overall number of series transistors through t...
Felipe S. Marques, Leomar S. da Rosa Jr., Renato P...
This paper introduces a novel energy minimization method, namely iterated cross entropy with partition strategy (ICEPS), into the Markov random field theory. The solver, which is...