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» Temporal Constraint Networks
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IJAR
2006
118views more  IJAR 2006»
15 years 4 months ago
Learning Bayesian network parameters under order constraints
We consider the problem of learning the parameters of a Bayesian network from data, while taking into account prior knowledge about the signs of influences between variables. Such...
A. J. Feelders, Linda C. van der Gaag
NECO
2008
156views more  NECO 2008»
15 years 4 months ago
Dynamical Constraints on Using Precise Spike Timing to Compute in Recurrent Cortical Networks
ns. We have previously developed an abstract dynamical system for networks of spiking neurons that has allowed us to identify the criterion for the stationary dynamics of a network...
Arunava Banerjee, Peggy Seriès, Alexandre P...
IMC
2007
ACM
15 years 6 months ago
Using uncleanliness to predict future botnet addresses
The increased use of botnets as an attack tool and the awareness attackers have of blocking lists leads to the question of whether we can effectively predict future bot locations...
M. Patrick Collins, Timothy J. Shimeall, Sidney Fa...
ACSC
2008
IEEE
15 years 6 months ago
An investigation of the state formation and transition limitations for prediction problems in recurrent neural networks
Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...
Angel Kennedy, Cara MacNish
IJDMBC
2010
115views more  IJDMBC 2010»
14 years 11 months ago
Near Optimum Power Control and Precoding under Fairness Constraints in Network MIMO Systems
Abstract--We consider the problem of setting the uplink signalto-noise-and-interference (SINR) target and allocating transmit powers for mobile stations in multicell spatial multip...
Gábor Fodor, Mikael Johansson, Pablo Soldat...