11 search results - page 1 / 3 » Learning with Queries Corrupted by Classification Noise |
ISTCS
1997
Springer
13 years 8 months ago
1997
Springer
Kearns introduced the "statistical query" (SQ) model as a general method for producing learning algorithms which are robust against classification noise. We extend this ...
AIR
2004
13 years 4 months ago
2004
Real-world data is never perfect and can often suffer from corruptions (noise) that may impact interpretations of the data, models created from the data and decisions made based on...
NIPS
2004
13 years 6 months ago
2004
This paper investigates a new learning model in which the input data is corrupted with noise. We present a general statistical framework to tackle this problem. Based on the stati...
COGSCI
2004
13 years 4 months ago
2004
Performance in perceptual tasks often improves with practice. This effect is known as `perceptual learning,' and it has been the source of a great deal of interest and debate...
STOC
1993
ACM
13 years 9 months ago
1993
ACM
In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...