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NIPS
1998
13 years 9 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
ACMSE
2008
ACM
13 years 9 months ago
Gnutella: integrating performance and security in fully decentralized P2P models
Peer-To-Peer (P2P) systems have made an enormous impact on the Internet, directly affecting its performance and security. The litigation against P2P file sharing has led some desi...
Rossana Motta, Wickus Nienaber, Jon Jenkins
EUROSYS
2008
ACM
14 years 4 months ago
Application-level isolation and recovery with solitude
When computer systems are compromised by an attack, it is difficult to determine the precise extent of the damage caused by the attack because the state changes made by an attack...
Shvetank Jain, Fareha Shafique, Vladan Djeric, Ash...
VTC
2006
IEEE
14 years 1 months ago
Soft Detection with Linear Precoding for Spatial Multiplexing Systems
— We present a precoded reduced-complexity soft detection (PRCSD) algorithm for spatial multiplexing systems. The linear operations at both transmit and receive sides based on co...
Yong Li, Jaekyun Moon
SOSP
2005
ACM
14 years 4 months ago
The taser intrusion recovery system
Recovery from intrusions is typically a very time-consuming operation in current systems. At a time when the cost of human resources dominates the cost of computing resources, we ...
Ashvin Goel, Kenneth Po, Kamran Farhadi, Zheng Li,...