498 search results - page 55 / 100 » Learning structured prediction models: a large margin approa... |
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
Semi-supervised learning has emerged as a popular framework for improving modeling accuracy while controlling labeling cost. Based on an extension of stochastic composite likeliho...
CIDM
2007
IEEE
14 years 4 days ago
2007
IEEE
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
WOSS
2004
ACM
14 years 1 months ago
2004
ACM
Complex distributed Internet services form the basis not only of e-commerce but increasingly of mission-critical networkbased applications. What is new is that the workload and in...
ICDM
2003
IEEE
14 years 1 months ago
2003
IEEE
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have compl...
BMCBI
2008
13 years 8 months ago
2008
Background: Prediction of transmembrane (TM) helices by statistical methods suffers from lack of sufficient training data. Current best methods use hundreds or even thousands of f...