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» Long term tracking using Bayesian networks
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ACSAC
2010
IEEE
15 years 2 months ago
Keeping data secret under full compromise using porter devices
We address the problem of confidentiality in scenarios where the attacker is not only able to observe the communication between principals, but can also fully compromise the commu...
Christina Pöpper, David A. Basin, Srdjan Capk...
GECCO
2003
Springer
15 years 9 months ago
Pruning Neural Networks with Distribution Estimation Algorithms
Abstract. This paper describes the application of four evolutionary algorithms to the pruning of neural networks used in classification problems. Besides of a simple genetic algor...
Erick Cantú-Paz
155
Voted
JMLR
2010
157views more  JMLR 2010»
14 years 11 months ago
Why are DBNs sparse?
Real stochastic processes operating in continuous time can be modeled by sets of stochastic differential equations. On the other hand, several popular model families, including hi...
Shaunak Chatterjee, Stuart Russell
JSAC
2007
224views more  JSAC 2007»
15 years 4 months ago
AMOEBA: Robust Location Privacy Scheme for VANET
Abstract— Communication messages in vehicular ad hoc networks (VANET) can be used to locate and track vehicles. While tracking can be beneficial for vehicle navigation, it can a...
Krishna Sampigethaya, Mingyan Li, Leping Huang, Ra...
ALIFE
2006
15 years 4 months ago
Neural Processing of Counting in Evolved Spiking and McCulloch-Pitts Agents
This paper investigates the evolution of autonomous agents that solve a memorydependent counting task. Two types of neurocontrollers are evolved: networks of McCulloch-Pitts neuro...
Keren Saggie-Wexler, Alon Keinan, Eytan Ruppin