A recursive acceleration method is proposed for multiplicative multilevel aggregation algorithms that calculate the stationary probability vector of large, sparse, and irreducible ...
A conditioning graph is a form of recursive factorization which minimizes the memory requirements and simplifies the implementation of inference in Bayesian networks. The time com...
This paper considers a tree-rewriting framework for modeling documents evolving through service calls. We focus on the automatic verification of properties of documents that may c...
Abstract-- An online approach to parameter estimation problems based on binary observations is presented in this paper. This recursive identification method relies on a least-mean ...
There is increasing interest within the research community in the design and use of recursive probability models. There remains concern about computational complexity costs and th...