Sciweavers

578 search results - page 50 / 116
» Neural networks for relational learning: an experimental com...
Sort
View
GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
15 years 4 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...
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
15 years 6 months ago
Neural network ensembles for time series forecasting
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
Victor M. Landassuri-Moreno, John A. Bullinaria
SECON
2010
IEEE
14 years 9 months ago
Deconstructing Interference Relations in WiFi Networks
Abstract--Wireless interference is the major cause of degradation of capacity in 802.11 wireless networks. We present an approach to estimate the interference between nodes and lin...
Anand Kashyap, Utpal Paul, Samir R. Das
ICALP
2011
Springer
14 years 3 months ago
Content Search through Comparisons
We study the problem of navigating through a database of similar objects using comparisons. This problem is known to be strongly related to the small-world network design problem....
Amin Karbasi, Stratis Ioannidis, Laurent Massouli&...
ENGL
2007
204views more  ENGL 2007»
14 years 11 months ago
Long-Term Prediction, Chaos and Artificial Neural Networks. Where is the Meeting Point?
—This paper presents the advances of a research using a combination of recurrent and feed-forward neural networks for long term prediction of chaotic time series. It is known tha...
Pilar Gómez-Gil