1077 search results - page 66 / 216 » Learning network structure from passive measurements |
CORR
2012
Springer
12 years 3 months ago
2012
Springer
The problem of learning the structure of Bayesian networks from complete discrete data with a limit on parent set size is considered. Learning is cast explicitly as an optimisatio...
ICDE
2007
IEEE
14 years 9 months ago
2007
IEEE
In this paper, we propose SPRITE (Selective PRogressive Index Tuning by Examples), a scalable system for text retrieval in a structured P2P network. Under SPRITE, each peer is res...
HICSS
2005
IEEE
14 years 1 months ago
2005
IEEE
Discourse, a form of collaborative learning [44], is one of the most widely used methods of teaching and learning in the online environment. Particularly in large courses, discour...
SIGCOMM
2009
ACM
14 years 2 months ago
2009
ACM
Many network applications have stringent end-to-end latency requirements, including VoIP and interactive video conferencing, automated trading, and high-performance computing—wh...
DAGM
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. In this article we present EANT2, a method that creates neural networks (NNs) by evolutionary reinforcement learning. The structure of NNs is developed using mutation ope...