243 search results - page 7 / 49 » Learning Classifiers from Distributed, Ontology-Extended Dat... |
JMLR
2010
13 years 2 months ago
2010
Data extracted from microarrays are now considered an important source of knowledge about various diseases. Several studies based on microarray data and the use of receiver operat...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution as the test examples about which the learned model...
KDD
2004
ACM
14 years 7 months ago
2004
ACM
Pattern ordering is an important task in data mining because the number of patterns extracted by standard data mining algorithms often exceeds our capacity to manually analyze the...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Interpolated images have data redundancy, and special correlation exists among neighboring pixels, which is a crucial clue in digital forensics. We design a neural network based f...
JAIR
2006
13 years 7 months ago
2006
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...