Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
In this paper we consider how to collect data from sensors deployed in the Euclidean plane in a timeefficient way. We assume that all sensors could adjust their transmission range...
With the advancement of micro-sensor and radio technology, wireless sensor networks are deployed in various applications. In a continuous monitoring application, sensors gather in...
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...