239 search results - page 45 / 48 » Semi-supervised Learning from Unbalanced Labeled Data - An I... |
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Email is one of the most prevalent communication tools today, and solving the email overload problem is pressingly urgent. A good way to alleviate email overload is to automatical...
ACL
2012
11 years 10 months ago
2012
We argue that multilingual parallel data provides a valuable source of indirect supervision for induction of shallow semantic representations. Specifically, we consider unsupervi...
DISCEX
2003
IEEE
14 years 27 days ago
2003
IEEE
We introduce a technique for detecting anomalous patterns in a categorical feature (one that takes values from a finite alphabet). It differs from most anomaly detection methods u...
FOCS
2010
IEEE
13 years 5 months ago
2010
IEEE
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...