This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
In some retrieval situations, a system must search across multiple collections. This task, referred to as federated search, occurs for example when searching a distributed index o...
Abstract—Unfortunately, malicious software is still an unsolved problem and a major threat on the Internet. An important component in the fight against malicious software is the...
Clemens Kolbitsch, Thorsten Holz, Christopher Krue...
The computer systems security arms race between attackers and defenders has largely taken place in the domain of software systems, but as hardware complexity and design processes ...
Matthew Hicks, Murph Finnicum, Samuel T. King, Mil...