Stochastic optimization algorithms typically use learning rate schedules that behave asymptotically as (t) = 0=t. The ensemble dynamics (Leen and Moody, 1993) for such algorithms ...
This paper presents a Q-learning based scheme for managing the partial coverage problem and the ill effects of free riding in unstructured P2P networks. Based on various parameter ...
Abstract. We present a new algorithm, called MCS-M, for computing minimal triangulations of graphs. LexBFS, a seminal algorithm for recognizing chordal graphs, was the genesis for ...
Anne Berry, Jean R. S. Blair, Pinar Heggernes, Bar...
g for Dependencies at Multiple Abstraction Levels Toon Calders Raymond T. Ng Jef Wijsen The notion of roll-up dependency (RUD) extends functional dependencies with generalization ...
: Dissipative systems is a widely studied subject and the concept of storage functions are closely associated to dissipative systems. These storage functions for 1-D systems (syste...