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TNN
2008
82views more  TNN 2008»
13 years 8 months ago
Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks
In this paper, a general method for the numerical solution of maximum-likelihood estimation (MLE) problems is presented; it adopts the deterministic learning (DL) approach to find ...
Cristiano Cervellera, Danilo Macciò, Marco ...
TROB
2002
114views more  TROB 2002»
13 years 8 months ago
Decentralized control of cooperative robotic vehicles: theory and application
This paper describes how decentralized control theory can be used to analyze the control of multiple cooperative robotic vehicles. Models of cooperation are discussed and related t...
John T. Feddema, Chris Lewis, David A. Schoenwald
DCC
2008
IEEE
14 years 8 months ago
Rate-Distortion Functions for Nonstationary Gaussian Autoregressive Processes
Source coding theorems and Shannon rate-distortion functions were studied for the discrete-time Wiener process by Berger and generalized to nonstationary Gaussian autoregressive p...
Robert M. Gray, Takeshi Hashimoto
ICTAC
2009
Springer
14 years 1 months ago
A Formal Approach to Heuristically Test Restorable Systems
Abstract. Given a nite state machine denoting the specication of a system, nding some short interaction sequences capable to reach some/all states or transitions of this machine...
Pablo Rabanal, Ismael Rodríguez, Fernando R...
GLOBECOM
2009
IEEE
14 years 3 days ago
Super-Gaussian Loading for Robust Beamforming
— It is well known that the performance of adaptive beamformers may degrade in the presence of steering errors. In this context, diagonal loading is one of the most popular metho...
Jing Gu, Patrick J. Wolfe