7623 search results - page 77 / 1525 » Algorithmic Features of Eclat |
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
After a classifier is trained using a machine learning algorithm and put to use in a real world system, it often faces noise which did not appear in the training data. Particularl...
GMP
2006
IEEE
14 years 2 months ago
2006
IEEE
Proper treatment of selections is essential in parametric feature-based design. Data exchange is one of the most important operators in any design paradigm. In this paper we addre...
IEEEICCI
2006
IEEE
14 years 2 months ago
2006
IEEE
Currently the best algorithms for transcription factor binding site prediction are severely limited in accuracy. In previous work we applied classification techniques on predictio...
ALGORITHMICA
2006
13 years 8 months ago
2006
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
KDD
2005
ACM
14 years 2 months ago
2005
ACM
Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...