16 search results - page 3 / 4 » Eliminating Class Noise in Large Datasets |
SDM
2003
SIAM
13 years 6 months ago
2003
SIAM
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
BMCBI
2006
13 years 5 months ago
2006
Background: We have recently introduced a predictive framework for studying gene transcriptional regulation in simpler organisms using a novel supervised learning algorithm called...
ISBI
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper presents an algorithm to classify pixels in uterine cervix images into two classes, namely normal and abnormal tissues, and simultaneously select relevant features, usi...
BMCBI
2006
13 years 5 months ago
2006
Background: An important class of interaction switches for biological circuits and disease pathways are short binding motifs. However, the biological experiments to find these bin...
KDD
2003
ACM
14 years 5 months ago
2003
ACM
Finding effective methods for developing an ensemble of models has been an active research area of large-scale data mining in recent years. Models learned from data are often subj...