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» Neural Networks and Complexity Theory
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IROS
2007
IEEE
124views Robotics» more  IROS 2007»
15 years 10 months ago
Vocal imitation using physical vocal tract model
— A vocal imitation system was developed using a computational model that supports the motor theory of speech perception. A critical problem in vocal imitation is how to generate...
Hisashi Kanda, Tetsuya Ogata, Kazunori Komatani, H...
NC
1998
15 years 5 months ago
An Addition to Backpropagation for Computing Functional Roots
Many processes are composed of a n-fold repetition of some simpler process. If the whole process can be modeled with a neural network, we present a method to derive a model of the...
Lars Kindermann
NIPS
1993
15 years 5 months ago
Analyzing Cross-Connected Networks
The non-linear complexities of neural networks make network solutions difficult to understand. Sanger's contribution analysis is here extended to the analysis of networks aut...
Thomas R. Shultz, Jeffrey L. Elman
ICDCS
2010
IEEE
15 years 8 months ago
LT Network Codes
This paper proposes LTNC, a new recoding algorithm to build low complexity network codes. At the core of LTNC is a decentralized version of LT codes that allows the use of fast be...
Mary-Luc Champel, Kévin Huguenin, Anne-Mari...
SPAA
2004
ACM
15 years 10 months ago
Online algorithms for network design
This paper presents the first polylogarithmic-competitive online algorithms for two-metric network design problems. These problems arise naturally in the design of computer netwo...
Adam Meyerson