1077 search results - page 119 / 216 » Learning network structure from passive measurements |
NIPS
2004
13 years 11 months ago
2004
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
ICTAI
2003
IEEE
14 years 3 months ago
2003
IEEE
The fuzzy belief Petri net we propose in this paper propagates fuzzy beliefs from observations at nodes that represent measured parameters to fuzzy beliefs of the truths of parame...
MICAI
2007
Springer
14 years 4 months ago
2007
Springer
A successful interpretation of data goes through discovering crucial relationships between variables. Such a task can be accomplished by a Bayesian network. The dark side is that, ...
RAID
2005
Springer
14 years 3 months ago
2005
Springer
Intrusion detection systems are fundamentally passive and fail–open. Because their primary task is classification, they do nothing to prevent an attack from succeeding. An intru...
ICML
2007
IEEE
14 years 11 months ago
2007
IEEE
Neighbor search is a fundamental task in machine learning, especially in classification and retrieval. Efficient nearest neighbor search methods have been widely studied, with the...