596 search results - page 8 / 120 » Learning noise |
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
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...
COLT
1999
Springer
13 years 12 months ago
1999
Springer
We study the problem of PAC-learning Boolean functions with random attribute noise under the uniform distribution. We define a noisy distance measure for function classes and sho...
IPL
2011
13 years 2 months ago
2011
We provide sample complexity of the problem of learning halfspaces with monotonic noise, using the regularized least squares algorithm in the reproducing kernel Hilbert spaces (RKH...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
A broad class of boosting algorithms can be interpreted as performing coordinate-wise gradient descent to minimize some potential function of the margins of a data set. This class...
ENC
2006
IEEE
14 years 1 months ago
2006
IEEE
We introduce a novel learning algorithm for noise elimination. Our algorithm is based on the re-measurement idea for the correction of erroneous observations and is able to discri...