77 search results - page 6 / 16 » Limits on Learning Machine Accuracy Imposed by Data Quality |
ICMLA
2008
13 years 9 months ago
2008
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
BMCBI
2008
13 years 7 months ago
2008
Background: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Conventional clustering methods typically assume that each data item belongs to a single cluster. This assumption does not hold in general. In order to overcome this limitation, w...
ECML
1997
Springer
13 years 11 months ago
1997
Springer
We investigate an inherent limitation of top-down decision tree induction in which the continuous partitioning of the instance space progressively lessens the statistical support o...
UAI
2000
13 years 8 months ago
2000
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...