: BigBatch is an image processing environment designed to process batches of thousands of monochromatic documents. One of the flexibilities and pioneer aspects of BigBatch is offer...
In recent years, there has been a growing interest in applying Bayesian networks and their extensions to reconstruct regulatory networks from gene expression data. Since the gene ...
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
We consider an optimization problem in probabilistic inference: Given n hypotheses Hj, m possible observations Ok, their conditional probabilities pk j, and a particular Ok, selec...
: This paper examines the impact of being an innovator on firm productivity in Taiwan. Using a panel of 48794 firms observed over the 1997-2003 period, and distributed across 23 in...