1344 search results - page 137 / 269 » Learning Classifiers from Semantically Heterogeneous Data |
KCAP
2011
ACM
13 years 1 months ago
2011
ACM
Open Information Extraction extracts relations from text without requiring a pre-specified domain or vocabulary. While existing techniques have used only shallow syntactic featur...
IJCNN
2008
IEEE
14 years 4 months ago
2008
IEEE
—This paper proposes a novel method for data editing. The goal of data editing in instance-based learning is to remove instances from a training set in order to increase the accu...
ML
2010
ACM
13 years 5 months ago
2010
ACM
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...
SEMWEB
2001
Springer
14 years 2 months ago
2001
Springer
Resolving heterogeneity among information systems is a crucial necessity if we wish to gain value from the many distributed resources available to us. Problems of heterogeneity in ...
ICML
2008
IEEE
14 years 11 months ago
2008
IEEE
A new algorithm for training Restricted Boltzmann Machines is introduced. The algorithm, named Persistent Contrastive Divergence, is different from the standard Contrastive Diverg...