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PAKDD
2011
ACM
473views Data Mining» more  PAKDD 2011»
14 years 8 months ago
 Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
Timothy Hospedales, Shaogang Gong and Tao Xiang
LREC
2010
145views Education» more  LREC 2010»
15 years 4 months ago
Generic Ontology Learners on Application Domains
In ontology learning from texts, we have ontology-rich domains where we have large structured domain knowledge repositories or we have large general corpora with large general str...
Francesca Fallucchi, Maria Teresa Pazienza, Fabio ...
PGLDB
2003
151views Database» more  PGLDB 2003»
15 years 4 months ago
Web-service-based, Dynamic and Collaborative E-learning
This paper describes an on-going effort to investigate problems and approaches for achieving Web-service-based, dynamic and collaborative e-learning. In this work, a Learning Cont...
Stanley Y. W. Su, Gilliean Lee
ATAL
2006
Springer
15 years 6 months ago
Learning to identify winning coalitions in the PAC model
We consider PAC learning of simple cooperative games, in which the coalitions are partitioned into "winning" and "losing" coalitions. We analyze the complexity...
Ariel D. Procaccia, Jeffrey S. Rosenschein
COLT
1989
Springer
15 years 7 months ago
Learning in the Presence of Inaccurate Information
The present paper considers the effects of introducing inaccuracies in a learner’s environment in Gold’s learning model of identification in the limit. Three kinds of inaccu...
Mark A. Fulk, Sanjay Jain