181 search results - page 3 / 37 » Polynomial Learning of Distribution Families |
ICPR
2000
IEEE
14 years 6 months ago
2000
IEEE
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
ICCV
2007
IEEE
14 years 7 months ago
2007
IEEE
Online camera recalibration is necessary for long-term deployment of computer vision systems. Existing algorithms assume that the source of recalibration information is a set of f...
COLT
2000
Springer
13 years 9 months ago
2000
Springer
The present paper deals with the averagecase complexity of various algorithms for learning univariate polynomials. For this purpose an appropriate framework is introduced. Based o...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
We study online learning when individual instances are corrupted by adversarially chosen random noise. We assume the noise distribution is unknown, and may change over time with n...
ICML
1999
IEEE
14 years 6 months ago
1999
IEEE
E cient learning of DFA is a challenging research problem in grammatical inference. Both exact and approximate (in the PAC sense) identi ability of DFA from examples is known to b...