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» Adaptive importance sampling in general mixture classes
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NIPS
2008
13 years 8 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
ACSAC
2010
IEEE
13 years 5 months ago
Comprehensive shellcode detection using runtime heuristics
A promising method for the detection of previously unknown code injection attacks is the identification of the shellcode that is part of the attack vector using payload execution....
Michalis Polychronakis, Kostas G. Anagnostakis, Ev...
SIGMOD
2008
ACM
188views Database» more  SIGMOD 2008»
14 years 7 months ago
Just-in-time query retrieval over partially indexed data on structured P2P overlays
Structured peer-to-peer (P2P) overlays have been successfully employed in many applications to locate content. However, they have been less effective in handling massive amounts o...
Sai Wu, Jianzhong Li, Beng Chin Ooi, Kian-Lee Tan
FAST
2010
13 years 9 months ago
Discovery of Application Workloads from Network File Traces
An understanding of application I/O access patterns is useful in several situations. First, gaining insight into what applications are doing with their data at a semantic level he...
Neeraja J. Yadwadkar, Chiranjib Bhattacharyya, K. ...
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
14 years 8 months ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe