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» Structure learning of Bayesian networks using constraints
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ICNP
2006
IEEE
15 years 10 months ago
Mitigating Attacks Against Measurement-Based Adaptation Mechanisms in Unstructured Multicast Overlay Networks
— Many multicast overlay networks maintain application-specific performance goals such as bandwidth, latency, jitter and loss rate by dynamically changing the overlay structure ...
Aaron Walters, David John Zage, Cristina Nita-Rota...
ICRA
2000
IEEE
85views Robotics» more  ICRA 2000»
15 years 9 months ago
Neural Network Controller for Constrained Robot Manipulators
In this paper, a neural network controller for constrained robot manipulators is presented. A feedforward neural network is used to adaptively compensate for the uncertainties in ...
Shenghai Hu, Marcelo H. Ang, Hariharan Krishnan
IJCNN
2007
IEEE
15 years 10 months ago
Incorporating Forgetting in a Category Learning Model
— We present a computational model of human category learning that learns the essential structures of the categories by forgetting information that is not useful for the given ta...
Yasuaki Sakamoto, Toshihiko Matsuka
145
Voted
BC
2002
90views more  BC 2002»
15 years 4 months ago
What can the hippocampal representation of environmental geometry tell us about Hebbian learning?
The importance of the hippocampus in spatial representation is well established. It is suggested that the rodent hippocampal network should provide an optimal substrate for the stu...
Colin Lever, Neil Burgess, Francesca Cacucci, Tom ...
JUCS
2008
166views more  JUCS 2008»
15 years 4 months ago
Exposure and Support of Latent Social Networks among Learning Object Repository Users
Abstract: Although immense efforts have been invested in the construction of hundreds of learning object repositories, the degree of reuse of learning resources maintained in such ...
Peng Han, Gerd Kortemeyer, Bernd J. Krämer, C...