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ICML
2005
IEEE
14 years 9 months ago
Supervised versus multiple instance learning: an empirical comparison
We empirically study the relationship between supervised and multiple instance (MI) learning. Algorithms to learn various concepts have been adapted to the MI representation. Howe...
Soumya Ray, Mark Craven
IAT
2009
IEEE
14 years 3 months ago
An Intelligent Agent That Autonomously Learns How to Translate
—We describe the design of an autonomous agent that can teach itself how to translate from a foreign language, by first assembling its own training set, then using it to improve...
Marco Turchi, Tijl De Bie, Nello Cristianini
ICST
2010
IEEE
13 years 6 months ago
Automated Test Data Generation on the Analyses of Feature Models: A Metamorphic Testing Approach
A Feature Model (FM) is a compact representation of all the products of a software product line. The automated extraction of information from FMs is a thriving research topic invo...
Sergio Segura, Robert M. Hierons, David Benavides,...
AMFG
2005
IEEE
293views Biometrics» more  AMFG 2005»
14 years 2 months ago
How to Train a Classifier Based on the Huge Face Database?
The development of web and digital camera nowadays has made it easier to collect more than hundreds of thousands of examples. How to train a face detector based on the collected en...
Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan...
EMNLP
2007
13 years 10 months ago
The CoNLL 2007 Shared Task on Dependency Parsing
The Conference on Computational Natural Language Learning features a shared task, in which participants train and test their learning systems on the same data sets. In 2007, as in...
Joakim Nivre, Johan Hall, Sandra Kübler, Ryan...