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144
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SIAMCO
2010
147views more  SIAMCO 2010»
15 years 2 months ago
Anytime Reliable Transmission of Real-Valued Information through Digital Noisy Channels
Abstract. The problem of reliably transmitting a real-valued random vector through a digital noisy channel is relevant for the design of distributed estimation and control techniqu...
Giacomo Como, Fabio Fagnani, Sandro Zampieri
131
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CDC
2010
IEEE
173views Control Systems» more  CDC 2010»
14 years 10 months ago
Corrective consensus: Converging to the exact average
Consensus algorithms provide an elegant distributed way for computing the average of a set of measurements across a sensor network. However, the convergence of the node estimates t...
Yin Chen, Roberto Tron, Andreas Terzis, René...
133
Voted
JMLR
2010
104views more  JMLR 2010»
14 years 10 months ago
Increasing Feature Selection Accuracy for L1 Regularized Linear Models
L1 (also referred to as the 1-norm or Lasso) penalty based formulations have been shown to be effective in problem domains when noisy features are present. However, the L1 penalty...
Abhishek Jaiantilal, Gregory Z. Grudic
189
Voted
REALWSN
2010
14 years 10 months ago
An Experimental Study on IEEE 802.15.4 Multichannel Transmission to Improve RSSI-Based Service Performance
Abstract. In Wireless Sensor Networks (WSNs) the majority of the devices provide access to the Received Signal Strength Indicator (RSSI), which has been used as a means to enable d...
Andrea Bardella, Nicola Bui, Andrea Zanella, Miche...
TOMACS
2010
79views more  TOMACS 2010»
14 years 10 months ago
A stochastic approximation method with max-norm projections and its applications to the Q-learning algorithm
In this paper, we develop a stochastic approximation method to solve a monotone estimation problem and use this method to enhance the empirical performance of the Q-learning algor...
Sumit Kunnumkal, Huseyin Topaloglu