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ITCC
2005
IEEE
16 years 12 days ago
Application of Loop Reduction to Learning Program Behaviors for Anomaly Detection
Abstract: Evidence of some attacks can be manifested by abnormal sequences of system calls of programs. Most approaches that have been developed so far mainly concentrate on some p...
Jidong Long, Daniel G. Schwartz, Sara Stoecklin, M...
CIARP
2008
Springer
15 years 8 months ago
Learning and Forgetting with Local Information of New Objects
The performance of supervised learners depends on the presence of a relatively large labeled sample. This paper proposes an automatic ongoing learning system, which is able to inco...
Fernando Vázquez, José Salvador S&aa...
CIKM
2008
Springer
15 years 8 months ago
Group-based learning: a boosting approach
This paper points out that many machine learning problems in IR should be and can be formalized in a novel way, referred to as `group-based learning'. In group-based learning...
Weijian Ni, Jun Xu, Hang Li, Yalou Huang
NETWORKING
2008
15 years 8 months ago
Cache Placement Optimization in Hierarchical Networks: Analysis and Performance Evaluation
Caching popular content in the Internet has been recognized as one of the effective solution to alleviate network congestion and accelerate user information access. Sharing and coo...
Wenzhong Li, Edward Chan, Yilin Wang, Daoxu Chen, ...
NIPS
2007
15 years 8 months ago
Bayesian Co-Training
We propose a Bayesian undirected graphical model for co-training, or more generally for semi-supervised multi-view learning. This makes explicit the previously unstated assumption...
Shipeng Yu, Balaji Krishnapuram, Rómer Rosa...