Sciweavers

2354 search results - page 270 / 471
» Randomness, Stochasticity and Approximations
Sort
View
IWANN
2009
Springer
16 years 21 days ago
Development of Neural Network Structure with Biological Mechanisms
We present an evolving neural network model in which synapses appear and disappear stochastically according to bio-inspired probabilities. These are in general nonlinear functions ...
Samuel Johnson, Joaquín Marro, Jorge F. Mej...
GLOBECOM
2008
IEEE
16 years 18 days ago
Game Theoretic Rate Adaptation for Spectrum-Overlay Cognitive Radio Networks
— We consider the issue of fair share of the spectrum opportunity for the case of spectrum-overlay cognitive radio networks. Owing to the decentralized nature of the network, we ...
Laxminarayana S. Pillutla, Vikram Krishnamurthy
IAT
2008
IEEE
16 years 18 days ago
Formalizing Multi-state Learning Dynamics
This paper extends the link between evolutionary game theory and multi-agent reinforcement learning to multistate games. In previous work, we introduced piecewise replicator dynam...
Daniel Hennes, Karl Tuyls, Matthias Rauterberg
ICC
2007
IEEE
16 years 14 days ago
Non-Data Aided Symbol Timing Estimation in MIMO Systems
—We present two Maximum Likelihood (ML) based estimators for Non-Data-Aided (NDA) symbol timing recovery in MIMO systems. These estimators are based on the classical Unconditiona...
Ketan Rajawat, Ajit K. Chaturvedi
ICC
2007
IEEE
217views Communications» more  ICC 2007»
16 years 14 days ago
Decentralized Activation in a ZigBee-enabled Unattended Ground Sensor Network: A Correlated Equilibrium Game Theoretic Analysis
Abstract— We describe a decentralized learning-based activation algorithm for a ZigBee-enabled unattended ground sensor network. Sensor nodes learn to monitor their environment i...
Michael Maskery, Vikram Krishnamurthy