Abstract. We introduce a new genetic algorithm approach for learning a Bayesian network structure from data. Our method is capable of learning over all node orderings and structure...
This paper presents a novel approach to reducing the complexity of the transient linear circuit analysis for a hybrid structured clock network. Topology reduction is first used to...
Yi Zou, Yici Cai, Qiang Zhou, Xianlong Hong, Sheld...
—This paper proposes a novel approach to the exact symbolic analysis of very large analog circuits. The new method is based on determinant decision diagrams (DDDs) representing s...
Motivation: High-throughput methods for detecting molecular interactions have produced large sets of biological network data with much more yet to come. Analogous to sequence alig...
Empirical studies of the variation in debt ratios across firms have used statistical models singularly to analyze the important determinants of capital structure. Researchers, how...