4660 search results - page 539 / 932 » Learning from imperfect data |
136
Voted
GECCO
2005
Springer
15 years 9 months ago
2005
Springer
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
127
Voted
COLT
1999
Springer
15 years 8 months ago
1999
Springer
This paper proposes the use of constructive ordinals as mistake bounds in the on-line learning model. This approach elegantly generalizes the applicability of the on-line mistake ...
152
Voted
CVPR
2007
IEEE
15 years 7 months ago
2007
IEEE
Detection of objects of a given class is important for many applications. However it is difficult to learn a general detector with high detection rate as well as low false alarm r...
151
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ENC
2004
IEEE
15 years 7 months ago
2004
IEEE
A method to induce bayesian networks from data to overcome some limitations of other learning algorithms is proposed. One of the main features of this method is a metric to evalua...
122
Voted
AICCSA
2006
IEEE
15 years 5 months ago
2006
IEEE
In this paper we apply a machine learning approach to the problem of estimating the number of defects called Regression via Classification (RvC). RvC initially automatically discr...