609 search results - page 119 / 122 » Comparing Similarity Combination Methods for Schema Matching |
IDA
2007
Springer
13 years 8 months ago
2007
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
DASFAA
2008
IEEE
14 years 3 months ago
2008
IEEE
Abstract. Recently, we have proposed a novel method for the compression of time series based on mathematical models that explore dependencies between different time series. This r...
ICDM
2005
IEEE
14 years 2 months ago
2005
IEEE
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
NIPS
2008
13 years 10 months ago
2008
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
BMCBI
2010
13 years 8 months ago
2010
Background: Identifying disease gene from a list of candidate genes is an important task in bioinformatics. The main strategy is to prioritize candidate genes based on their simil...