To understand the principles of information processing in the brain, we depend on models with more than 105 neurons and 109 connections. These networks can be described as graphs o...
Hans E. Plesser, Jochen M. Eppler, Abigail Morriso...
The paper presents and evaluates the power of best-first search over AND/OR search spaces in graphical models. The main virtue of the AND/OR representation is its sensitivity to ...
Abstract— As VLSI technology enters the ultra-deep submicron era, wire coupling capacitance starts to dominate self capacitance and can no longer be neglected in timing driven ro...
Sparse matrices are first class objects in many VHLLs (very high level languages) used for scientific computing. They are a basic building block for various numerical and combinat...
Background: We examine the accuracy of enzyme catalytic residue predictions from a network representation of protein structure. In this model, amino acid α-carbons specify vertic...