348 search results - page 20 / 70 » Learning on the Test Data: Leveraging Unseen Features |
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
Traditional machine learning makes a basic assumption: the training and test data should be under the same distribution. However, in many cases, this identicaldistribution assumpt...
BMCBI
2005
13 years 9 months ago
2005
Background: The use of mass spectrometry as a proteomics tool is poised to revolutionize early disease diagnosis and biomarker identification. Unfortunately, before standard super...
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
TREC
2004
13 years 10 months ago
2004
This paper reports our knowledge-ignorant machine learning approach to the triage task in TREC2004 genomics track, which is actually a text categorization problem. We applied Supp...
MICAI
2007
Springer
14 years 3 months ago
2007
Springer
A successful interpretation of data goes through discovering crucial relationships between variables. Such a task can be accomplished by a Bayesian network. The dark side is that, ...