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ICML
2005
IEEE
14 years 6 months ago
Discriminative versus generative parameter and structure learning of Bayesian network classifiers
In this paper, we compare both discriminative and generative parameter learning on both discriminatively and generatively structured Bayesian network classifiers. We use either ma...
Franz Pernkopf, Jeff A. Bilmes
MOBICOM
2009
ACM
13 years 11 months ago
Mobility increases the connectivity of K-hop clustered wireless networks
In this paper we investigate the connectivity for large-scale clustered wireless sensor and ad hoc networks. We study the effect of mobility on the critical transmission range fo...
Qingsi Wang, Xinbing Wang, Xiaojun Lin
ALGORITHMICA
2007
132views more  ALGORITHMICA 2007»
13 years 5 months ago
On the Feasibility of Time Estimation under Isolation Conditions in Wireless Sensor Networks
We study the problem of providing a sensor with an accurate estimate of the time, from a novel perspective which is complementary to the well-studied clock synchronization problem....
Daniela Tulone
TON
2012
11 years 7 months ago
On New Approaches of Assessing Network Vulnerability: Hardness and Approximation
—Society relies heavily on its networked physical infrastructure and information systems. Accurately assessing the vulnerability of these systems against disruptive events is vit...
Thang N. Dinh, Ying Xuan, My T. Thai, Panos M. Par...
AAAI
2008
13 years 7 months ago
H-DPOP: Using Hard Constraints for Search Space Pruning in DCOP
In distributed constraint optimization problems, dynamic programming methods have been recently proposed (e.g. DPOP). In dynamic programming many valuations are grouped together i...
Akshat Kumar, Adrian Petcu, Boi Faltings