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1998
Springer
14 years 1 months ago
Hidden partitioning of a visual feedback-based neuro-controller
Robotic controllers take advantage from neural network learning capabilities as long as the dimensionality of the problem is kept moderate. This paper explores the possibilities of...
Jean-Philippe Urban, Jean-Luc Buessler, Julien Gre...
ICANN
2001
Springer
14 years 1 months ago
Online Symbolic-Sequence Prediction with Discrete-Time Recurrent Neural Networks
This paper studies the use of discrete-time recurrent neural networks for predicting the next symbol in a sequence. The focus is on online prediction, a task much harder than the c...
Juan Antonio Pérez-Ortiz, Jorge Calera-Rubi...
NETWORKING
2010
13 years 10 months ago
Synapse: A Scalable Protocol for Interconnecting Heterogeneous Overlay Networks
This paper presents Synapse, a scalable protocol for information retrieval over the inter-connection of heterogeneous overlay networks. Applications on top of Synapse see those int...
Luigi Liquori, Cédric Tedeschi, Laurent Van...
INTERSENSE
2006
ACM
14 years 3 months ago
Particle-based methodology for representing mobile ad-hoc networks
—We present a methodology based on physics laws and particles in order to represent, simulate, and architect advanced networking models. We introduce a mathematical formalism wit...
Carlos J. Martinez, Marisa López, Luis C. E...
GD
2005
Springer
14 years 2 months ago
MultiPlane: A New Framework for Drawing Graphs in Three Dimensions
This paper presents a new framework for drawing graphs in three dimensions. In general, the new framework uses a divide and conquer approach. More specifically, the framework divi...
Seok-Hee Hong