77 search results - page 2 / 16 » Limits on Learning Machine Accuracy Imposed by Data Quality |
ESSMAC
2003
Springer
14 years 20 days ago
2003
Springer
Kernel-based non-parametric models have been applied widely over recent years. However, the associated computational complexity imposes limitations on the applicability of those me...
DATAMINE
2006
13 years 7 months ago
2006
Data visualization plays a crucial role in identifying interesting patterns in exploratory data analysis. Its use is, however, made difficult by the large number of possible data p...
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
ECML
1994
Springer
13 years 11 months ago
1994
Springer
In the context of machine learning from examples this paper deals with the problem of estimating the quality of attributes with and without dependencies among them. Kira and Rendel...
BMCBI
2008
13 years 7 months ago
2008
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...