Bayesian networks are formal graphical languages for representation and communication of decision scenarios requiring reasoning under uncertainty. We will analyze Bayesian network...
A key step in the semantic analysis of network traffic is to parse the traffic stream according to the high-level protocols it contains. This process transforms raw bytes into s...
Ruoming Pang, Vern Paxson, Robin Sommer, Larry L. ...
This paper describes the implementation and system details of Klex, a finite-state transducer lexicon for the Korean language, developed using XRCE’s Xerox Finite State Tool (XF...
This book shows how to implement some AI techniques in java such as Search, Reasoning, Semantic Web, Expert Systems, Genetic Algorithms, Neural Networks, Machine Learning with Weka...
Networking course projects are usually described by an informal specification and a collection of test cases. Students often misunderstand the specification or oversimplify it t...