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» Bayesian Detection in Bounded Height Tree Networks
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VLDB
2006
ACM
162views Database» more  VLDB 2006»
14 years 5 months ago
Dependency trees in sub-linear time and bounded memory
We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...
Dan Pelleg, Andrew W. Moore
DMTCS
2010
146views Mathematics» more  DMTCS 2010»
13 years 2 months ago
Tight Bounds for Delay-Sensitive Aggregation
This paper studies the fundamental trade-off between communication cost and delay cost arising in various contexts such as control message aggregation or organization theory. An o...
Yvonne Anne Pignolet, Stefan Schmid, Roger Wattenh...
AINA
2008
IEEE
13 years 7 months ago
An Efficient Tree Structure for Delay Sensitive Data Gathering in Wireless Sensor Networks
It is important to design an energy efficient data gathering tree structure for wireless sensor networks. As for the energy efficiency, network's overall energy consumption an...
Soonmok Kwon, Jeonggyu Kim, Cheeha Kim
BMCBI
2007
136views more  BMCBI 2007»
13 years 5 months ago
Prediction of tissue-specific cis-regulatory modules using Bayesian networks and regression trees
Background: In vertebrates, a large part of gene transcriptional regulation is operated by cisregulatory modules. These modules are believed to be regulating much of the tissue-sp...
Xiaoyu Chen, Mathieu Blanchette
ICMLA
2007
13 years 6 months ago
Learning bayesian networks consistent with the optimal branching
We introduce a polynomial-time algorithm to learn Bayesian networks whose structure is restricted to nodes with in-degree at most k and to edges consistent with the optimal branch...
Alexandra M. Carvalho, Arlindo L. Oliveira