394 search results - page 33 / 79 » A Study of Empirical Learning for an Involved Problem |
ICDM
2009
IEEE
14 years 9 months ago
2009
IEEE
In this paper we study the problem of classifier learning where the input data contains unjustified dependencies between some data attributes and the class label. Such cases arise...
PAKDD
2009
ACM
15 years 6 months ago
2009
ACM
Co-training, a paradigm of semi-supervised learning, may alleviate effectively the data scarcity problem (i.e., the lack of labeled examples) in supervised learning. The standard ...
CEC
2010
IEEE
15 years 28 days ago
2010
IEEE
An important challenge within hyper-heuristic research is to design search methodologies that work well, not only across different instances of the same problem, but also across di...
ICALT
2006
IEEE
15 years 5 months ago
2006
IEEE
Application of Virtual Reality (VR) in training and education seems to give excellent promise in providing an alternative “real life” environment in situations where it is imp...
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ECML
2004
Springer
15 years 5 months ago
2004
Springer
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...