1344 search results - page 49 / 269 » Learning Classifiers from Semantically Heterogeneous Data |
ICDM
2003
IEEE
14 years 2 months ago
2003
IEEE
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
BMCBI
2006
13 years 8 months ago
2006
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
TIP
2008
13 years 8 months ago
2008
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
ICDM
2007
IEEE
14 years 20 days ago
2007
IEEE
When data collection is costly and/or takes a significant amount of time, an early prediction of the classifier performance is extremely important for the design of the data minin...
KDD
2012
ACM
11 years 11 months ago
2012
ACM
Real-world, multiple-typed objects are often interconnected, forming heterogeneous information networks. A major challenge for link-based clustering in such networks is its potent...