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» Size reduction of complex networks preserving modularity
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NIPS
2003
13 years 8 months ago
Minimax Embeddings
Spectral methods for nonlinear dimensionality reduction (NLDR) impose a neighborhood graph on point data and compute eigenfunctions of a quadratic form generated from the graph. W...
Matthew Brand
BMCBI
2005
97views more  BMCBI 2005»
13 years 7 months ago
The yeast kinome displays scale free topology with functional hub clusters
Background: The availability of interaction databases provides an opportunity for researchers to utilize immense amounts of data exclusively in silico. Recently there has been an ...
Robin E. C. Lee, Lynn A. Megeney
ADHOC
2010
173views more  ADHOC 2010»
13 years 4 months ago
A new distributed topology control algorithm for wireless environments with non-uniform path loss and multipath propagation
Each node in a wireless multi-hop network can adjust the power level at which it transmits and thus change the topology of the network to save energy by choosing the neighbors wit...
Harish Sethu, Thomas Gerety
TNN
2008
138views more  TNN 2008»
13 years 7 months ago
A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
Zhenzhen Liu, Itamar Elhanany
CODES
2006
IEEE
14 years 1 months ago
A buffer-sizing algorithm for networks on chip using TDMA and credit-based end-to-end flow control
When designing a System-on-Chip (SoC) using a Networkon-Chip (NoC), silicon area and power consumption are two key elements to optimize. A dominant part of the NoC area and power ...
Martijn Coenen, Srinivasan Murali, Andrei Radulesc...