The paper investigates parameterized approximate message-passing schemes that are based on bounded inference and are inspired by Pearl’s belief propagation algorithm (BP). We st...
Robert Mateescu, Kalev Kask, Vibhav Gogate, Rina D...
Arguably, the most prominent constrained system in storage applications is the (d; k)-run-length limited (RLL) system, where every binary sequence obeys the constraint that every t...
Region-based memory management offers several important potential advantages over garbage collection, including real-time performance, better data locality, and more efficient us...
Background: In many approaches to the inference and modeling of regulatory interactions using microarray data, the expression of the gene coding for the transcription factor is co...
This paper presents a new approach to inference in Bayesian networks. The principal idea is to encode the network by logical sentences and to compile the resulting encoding into an...