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ICASSP
2011
IEEE
12 years 11 months ago
Sparse graphical modeling of piecewise-stationary time series
Graphical models are useful for capturing interdependencies of statistical variables in various fields. Estimating parameters describing sparse graphical models of stationary mul...
Daniele Angelosante, Georgios B. Giannakis
WS
2010
ACM
13 years 6 months ago
Anomalies in ontologies with rules
For the development of practical semantic applications, ontologies are commonly used with rule extensions. Prominent examples of semantic applications are Semantic Wikis, Semantic...
Joachim Baumeister, Dietmar Seipel
IEEECIT
2010
IEEE
13 years 5 months ago
Learning Autonomic Security Reconfiguration Policies
Abstract--We explore the idea of applying machine learning techniques to automatically infer risk-adaptive policies to reconfigure a network security architecture when the context ...
Juan E. Tapiador, John A. Clark
SIGCOMM
2003
ACM
14 years 27 days ago
A high-level programming environment for packet trace anonymization and transformation
Packet traces of operational Internet traffic are invaluable to network research, but public sharing of such traces is severely limited by the need to first remove all sensitive...
Ruoming Pang, Vern Paxson
ICML
1996
IEEE
14 years 8 months ago
Learning Evaluation Functions for Large Acyclic Domains
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
Justin A. Boyan, Andrew W. Moore