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» Performance of Portfolios Optimized with Estimation Error
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TIP
2008
89views more  TIP 2008»
14 years 9 months ago
Optimal Denoising in Redundant Representations
Abstract--Image denoising methods are often designed to minimize mean-squared error (MSE) within the subbands of a multiscale decomposition. However, most high-quality denoising re...
Martin Raphan, Eero P. Simoncelli
CDC
2009
IEEE
103views Control Systems» more  CDC 2009»
15 years 2 months ago
Networked state estimation over a Gilbert-Elliot type channel
Abstract— We characterize the stability and achievable performance of networked estimation under correlated packet losses described by the Gilbert-Elliot model. For scalar contin...
Peter Almstrom, Maben Rabi, Mikael Johansson
ICML
1998
IEEE
15 years 10 months ago
A Fast, Bottom-Up Decision Tree Pruning Algorithm with Near-Optimal Generalization
In this work, we present a new bottom-up algorithmfor decision tree pruning that is very e cient requiring only a single pass through the given tree, and prove a strong performanc...
Michael J. Kearns, Yishay Mansour
PR
2007
104views more  PR 2007»
14 years 9 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet
JSAC
2008
85views more  JSAC 2008»
14 years 9 months ago
A distributed minimum variance estimator for sensor networks
A distributed estimation algorithm for sensor networks is proposed. A noisy time-varying signal is jointly tracked by a network of sensor nodes, in which each node computes its es...
Alberto Speranzon, Carlo Fischione, Karl Henrik Jo...