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CIKM
1997
Springer
15 years 10 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
ICASSP
2009
IEEE
16 years 1 months ago
Delay-based overlay construction in P2P video broadcast
We consider streaming video content over an overlay network of peer nodes. Each of the nodes employs a mesh-pull mechanism to organize the download of data units from its neighbou...
Jacob Chakareski, Pascal Frossard
AI
2006
Springer
15 years 10 months ago
Modeling Causal Reinforcement and Undermining with Noisy-AND Trees
Abstract. Causal modeling, such as noisy-OR, reduces probability parameters to be acquired in constructing a Bayesian network. Multiple causes can reinforce each other in producing...
Y. Xiang, N. Jia
TPDS
2008
136views more  TPDS 2008»
15 years 6 months ago
Data Gathering with Tunable Compression in Sensor Networks
We study the problem of constructing a data gathering tree over a wireless sensor network in order to minimize the total energy for compressing and transporting information from a ...
Yang Yu, Bhaskar Krishnamachari, Viktor K. Prasann...
SODA
2003
ACM
119views Algorithms» more  SODA 2003»
15 years 7 months ago
Simultaneous optimization for concave costs: single sink aggregation or single source buy-at-bulk
We consider the problem of finding efficient trees to send information from k sources to a single sink in a network where information can be aggregated at intermediate nodes in t...
Ashish Goel, Deborah Estrin