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IJCNN
2000
IEEE
15 years 11 months ago
Evolving Neural Network Structures Using Axonal Growth Mechanisms
In the eld of arti cial evolution creating methods to evolve neural networks is an important goal. But how to encode the structure and properties of the neural network in the geno...
Peter Eggenberger
ISCA
2000
IEEE
111views Hardware» more  ISCA 2000»
15 years 11 months ago
HLS: combining statistical and symbolic simulation to guide microprocessor designs
As microprocessors continue to evolve, many optimizations reach a point of diminishing returns. We introduce HLS, a hybrid processor simulator which uses statistical models and sy...
Mark Oskin, Frederic T. Chong, Matthew K. Farrens
172
Voted
SIGOPSE
2000
ACM
15 years 11 months ago
Gaia: enabling active spaces
Ubiquitous computing promotes physical spaces with hundreds of specialized embedded devices that increase our productivity, alleviate some specific everyday tasks and provide new ...
Manuel Román, Roy H. Campbell
STOC
2000
ACM
134views Algorithms» more  STOC 2000»
15 years 11 months ago
Computing the median with uncertainty
We consider a new model for computing with uncertainty. It is desired to compute a function fX1; : : : ; Xn where X1; : : : ; Xn are unknown, but guaranteed to lie in speci ed i...
Tomás Feder, Rajeev Motwani, Rina Panigrahy...
ECAI
2000
Springer
15 years 11 months ago
Turning High-Level Plans into Robot Programs in Uncertain Domains
The actions of a robot like lifting an object are often best thought of as low-level processes with uncertain outcome. A highlevel robot plan can be seen as a description of a task...
Henrik Grosskreutz, Gerhard Lakemeyer