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» Pursuit-Evasion in Models of Complex Networks
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UAI
2003
13 years 9 months ago
Large-Sample Learning of Bayesian Networks is NP-Hard
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
David Maxwell Chickering, Christopher Meek, David ...
CORR
2008
Springer
89views Education» more  CORR 2008»
13 years 8 months ago
Idiotypic Immune Networks in Mobile Robot Control
Jerne's idiotypic-network theory postulates that the immune response involves interantibody stimulation and suppression, as well as matching to antigens. The theory has proved...
Amanda M. Whitbrook, Uwe Aickelin, Jonathan M. Gar...
EOR
2008
83views more  EOR 2008»
13 years 8 months ago
Rerouting tunnels for MPLS network resource optimization
In Multi-Protocol Label Switching (MPLS) networks, traffic demands can be routed along tunnels called Label Switched Paths (LSPs). A tunnel is characterized by a path in the netwo...
Olivier Klopfenstein
CLUSTER
2004
IEEE
13 years 8 months ago
Performance Evaluation of Shared Mesh Protection in WDM Networks
The efficient use of network capacity in shared restoration schemes strongly depends upon the path selection procedure. In this paper we propose and evaluate path selection algorit...
Chadi Assi, Ahmad Khalil, Nasir Ghani, Abdallah Sh...
KDD
2010
ACM
244views Data Mining» more  KDD 2010»
13 years 6 months ago
Finding effectors in social networks
Assume a network (V, E) where a subset of the nodes in V are active. We consider the problem of selecting a set of k active nodes that best explain the observed activation state, ...
Theodoros Lappas, Evimaria Terzi, Dimitrios Gunopu...