266 search results - page 4 / 54 » Learning to Identify Unexpected Instances in the Test Set |
ICDE
2009
IEEE
14 years 7 months ago
2009
IEEE
One of the most challenging aspects of managing a very large data warehouse is identifying how queries will behave before they start executing. Yet knowing their performance charac...
BMCBI
2007
13 years 5 months ago
2007
Background: Independently derived expression profiles of the same biological condition often have few genes in common. In this study, we created populations of expression profiles...
MICAI
2007
Springer
13 years 11 months ago
2007
Springer
Instance-based learning algorithms are widely used due to their capacity to approximate complex target functions; however, the performance of this kind of algorithms degrades signi...
FLAIRS
2004
13 years 6 months ago
2004
In our prior work, we introduced a generalization of the multiple-instance learning (MIL) model in which a bag's label is not based on a single instance's proximity to a...
ICTAI
2006
IEEE
13 years 11 months ago
2006
IEEE
We present MI-Winnow, a new multiple-instance learning (MIL) algorithm that provides a new technique to convert MIL data into standard supervised data. In MIL each example is a co...