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» On Conditions for Linearity of Optimal Estimation
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ICML
2006
IEEE
15 years 10 months ago
Bayesian regression with input noise for high dimensional data
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
SENSYS
2005
ACM
15 years 3 months ago
Estimating clock uncertainty for efficient duty-cycling in sensor networks
Radio duty cycling has received significant attention in sensor networking literature, particularly in the form of protocols for medium access control and topology management. Whi...
Saurabh Ganeriwal, Deepak Ganesan, Hohyun Shim, Vl...
BMCBI
2008
153views more  BMCBI 2008»
14 years 10 months ago
Estimating the size of the solution space of metabolic networks
Background: Cellular metabolism is one of the most investigated system of biological interactions. While the topological nature of individual reactions and pathways in the network...
Alfredo Braunstein, Roberto Mulet, Andrea Pagnani
PLDI
2003
ACM
15 years 3 months ago
A comparison of empirical and model-driven optimization
Empirical program optimizers estimate the values of key optimization parameters by generating different program versions and running them on the actual hardware to determine which...
Kamen Yotov, Xiaoming Li, Gang Ren, Michael Cibuls...
ISBI
2009
IEEE
15 years 4 months ago
Fast Haar-Wavelet Denoising of Multidimensional Fluorescence Microscopy Data
We propose a novel denoising algorithm to reduce the Poisson noise that is typically dominant in fluorescence microscopy data. To process large datasets at a low computational co...
Florian Luisier, Cédric Vonesch, Thierry Bl...