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» Combining Estimators Using Non-Constant Weighting Functions
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ICDM
2009
IEEE
163views Data Mining» more  ICDM 2009»
15 years 11 months ago
Kernel Conditional Quantile Estimation via Reduction Revisited
Quantile regression refers to the process of estimating the quantiles of a conditional distribution and has many important applications within econometrics and data mining, among ...
Novi Quadrianto, Kristian Kersting, Mark D. Reid, ...
SIAMSC
2010
141views more  SIAMSC 2010»
15 years 2 months ago
An Iterative Method for Edge-Preserving MAP Estimation When Data-Noise Is Poisson
In numerous applications of image processing, e.g. astronomical and medical imaging, data-noise is well-modeled by a Poisson distribution. This motivates the use of the negative-lo...
Johnathan M. Bardsley, John Goldes
ICML
2002
IEEE
16 years 5 months ago
Learning from Scarce Experience
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...
Leonid Peshkin, Christian R. Shelton
DATE
2002
IEEE
102views Hardware» more  DATE 2002»
15 years 9 months ago
Improving Placement under the Constant Delay Model
In this paper, we show that under the constant delay model the placement problem is equivalent to minimizing a weighted sum of wire lengths. The weights can be efficiently compute...
Kolja Sulimma, Wolfgang Kunz, Ingmar Neumann, Luka...
ICIP
2004
IEEE
16 years 6 months ago
Camera response function recovery from different illuminations of identical subject matter
A robust method of camera response function estimation, using pictures taken by differently illuminating the same subject matter, is presented. The method solves for the response ...
Corey Manders, Chris Aimone, Steve Mann