This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
ABSTRACT: Biochemical reactions form large and complex networks. Comprehensible visual representations of these networks help biochemists understand the relationships between the c...
Compliance management is essential for ensuring that organizational business processes and supporting information systems are in accordance with a set of prescribed requirements or...
—Free and open source software (FOSS) is often distributed in binary packages, sometimes part of GNU/Linux operating system distributions, or part of products distributed/sold to...
As data sources become larger and more complex, the ability to effectively explore and analyze patterns amongst varying sources becomes a critical bottleneck in analytic reasoning...
Ross Maciejewski, Stephen Rudolph, Ryan Hafen, Ahm...