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» On the Network Complexity of Selection
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DATE
2009
IEEE
168views Hardware» more  DATE 2009»
16 years 1 months ago
Selective state retention design using symbolic simulation
Abstract—Addressing both standby and active power is a major challenge in developing System-on-Chip designs for batterypowered products. Powering off sections of logic or memorie...
Ashish Darbari, Bashir M. Al-Hashimi, David Flynn,...
NIPS
2000
15 years 8 months ago
The Use of MDL to Select among Computational Models of Cognition
How should we decide among competing explanations of a cognitive process given limited observations? The problem of model selection is at the heart of progress in cognitive scienc...
In Jae Myung, Mark A. Pitt, Shaobo Zhang, Vijay Ba...
BC
2004
133views more  BC 2004»
15 years 6 months ago
Coevolution of active vision and feature selection
We show that complex visual tasks, such as position- and size-invariant shape recognition and navigation in the environment, can be tackled with simple architectures generated by a...
Dario Floreano, Toshifumi Kato, Davide Marocco, Er...
BMCBI
2004
167views more  BMCBI 2004»
15 years 6 months ago
Feature selection for splice site prediction: A new method using EDA-based feature ranking
Background: The identification of relevant biological features in large and complex datasets is an important step towards gaining insight in the processes underlying the data. Oth...
Yvan Saeys, Sven Degroeve, Dirk Aeyels, Pierre Rou...
GECCO
2009
Springer
118views Optimization» more  GECCO 2009»
16 years 1 months ago
The impact of network topology on self-organizing maps
In this paper, we study instances of complex neural networks, i.e. neural networks with complex topologies. We use Self-Organizing Map neural networks whose neighborhood relations...
Fei Jiang, Hugues Berry, Marc Schoenauer