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ICML
2006
IEEE
16 years 6 months ago
Full Bayesian network classifiers
The structure of a Bayesian network (BN) encodes variable independence. Learning the structure of a BN, however, is typically of high computational complexity. In this paper, we e...
Jiang Su, Harry Zhang
ICMCS
2008
IEEE
148views Multimedia» more  ICMCS 2008»
16 years 12 days ago
Loss tolerance scheme for 3D progressive meshes streaming over networks
– Nowadays, the Internet provides a convenient medium for sharing complex 3D models online. However, transmitting 3D progressive meshes over networks may encounter the problem of...
Hui Li, Ziying Tang, Xiaohu Guo, Balakrishnan Prab...
INFOCOM
2000
IEEE
15 years 10 months ago
Networks with Advance Reservations: The Routing Perspective
— This paper provides an initial look at how support for advance reservations affects the complexity of the path selection process in networks. Advance reservations are likely to...
Roch Guérin, Ariel Orda
ECAI
2008
Springer
15 years 7 months ago
Structure Learning of Markov Logic Networks through Iterated Local Search
Many real-world applications of AI require both probability and first-order logic to deal with uncertainty and structural complexity. Logical AI has focused mainly on handling com...
Marenglen Biba, Stefano Ferilli, Floriana Esposito
IPTPS
2005
Springer
15 years 11 months ago
Brushwood: Distributed Trees in Peer-to-Peer Systems
There is an increasing demand for locality-preserving distribution of complex data structures in peer-to-peer systems. Current systems either do not preserve object locality or su...
Chi Zhang, Arvind Krishnamurthy, Randolph Y. Wang