201 search results - page 28 / 41 » Exploiting Unlabeled Data for Improving Accuracy of Predicti... |
AUSAI
2004
Springer
14 years 1 months ago
2004
Springer
How to assess the performance of machine learning algorithms is a problem of increasing interest and urgency as the data mining application of myriad algorithms grows. The standard...
SIGMOD
1999
ACM
13 years 12 months ago
1999
ACM
Classification is an important data mining problem. Given a training database of records, each tagged with a class label, the goal of classification is to build a concise model ...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
Data clustering is an important task in many disciplines. A large number of studies have attempted to improve clustering by using the side information that is often encoded as pai...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
In this study, we formalize a multi-focal learning problem, where training data are partitioned into several different focal groups and the prediction model will be learned within...
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...