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GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
15 years 6 months ago
Investigating whether hyperNEAT produces modular neural networks
HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
Jeff Clune, Benjamin E. Beckmann, Philip K. McKinl...
DIS
2001
Springer
15 years 6 months ago
Functional Trees
In the context of classification problems, algorithms that generate multivariate trees are able to explore multiple representation languages by using decision tests based on a com...
Joao Gama
ICDT
2001
ACM
147views Database» more  ICDT 2001»
15 years 6 months ago
Parallelizing the Data Cube
This paper presents a general methodology for the efficient parallelization of existing data cube construction algorithms. We describe two different partitioning strategies, one f...
Frank K. H. A. Dehne, Todd Eavis, Susanne E. Hambr...
ASYNC
2000
IEEE
122views Hardware» more  ASYNC 2000»
15 years 6 months ago
DUDES: A Fault Abstraction and Collapsing Framework for Asynchronous Circuits
Fault Abstraction and Collapsing Framework for Asynchronous Circuits Philip P. Shirvani, Subhasish Mitra Center for Reliable Computing Stanford University Stanford, CA Jo C. Eberge...
Philip P. Shirvani, Subhasish Mitra, Jo C. Ebergen...
ROBOCUP
1999
Springer
115views Robotics» more  ROBOCUP 1999»
15 years 5 months ago
UBU Team
The underlying research topics and the architecture of the UBU team are briefly described. The aim of developing UBU is to subject a series of tools and procedures for agent decis...
Johan Kummeneje, David Lybäck, Håkan L....
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