Efficient multi-dimensional data search has received much attention in centralized systems. However, its implementation in large-scale distributed systems is not a trivial job and...
When an incremental structural learning method gradually modifies a Bayesian network (BN) structure to fit observations, as they are read from a database, we call the process stru...
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
- This paper presents a novel approach for fast transient analysis of buffered hybrid structured clock networks. The new method applies structure reduction and relaxed hierarchical...
Yi Zou, Qiang Zhou, Yici Cai, Xianlong Hong, Sheld...
Abstract. Interest-based communities are a natural arrangement of distributed systems that prune the search space and allow for better dissemination of information to participating...