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KDD
2008
ACM
182views Data Mining» more  KDD 2008»
16 years 4 months ago
Classification with partial labels
In this paper, we address the problem of learning when some cases are fully labeled while other cases are only partially labeled, in the form of partial labels. Partial labels are...
Nam Nguyen, Rich Caruana
KDD
2007
ACM
190views Data Mining» more  KDD 2007»
16 years 4 months ago
Model-shared subspace boosting for multi-label classification
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
Rong Yan, Jelena Tesic, John R. Smith
UIC
2007
Springer
15 years 9 months ago
Ontology-Based Semantic Recommendation for Context-Aware E-Learning
Nowadays, e-learning systems are widely used for education and training in universities and companies because of their electronic course content access and virtual classroom partic...
Zhiwen Yu, Yuichi Nakamura, Seiie Jang, Shoji Kaji...
IUI
2006
ACM
15 years 9 months ago
Are two talking heads better than one?: when should use more than one agent in e-learning?
Recent interest in the use of software character agents raises the issue of how many agents should be used in online learning. In this paper we review evidence concerning the rela...
Hua Wang, Mark H. Chignell, Mitsuru Ishizuka
DEXAW
2002
IEEE
96views Database» more  DEXAW 2002»
15 years 8 months ago
Individual Knowledge Management with MailTack
We present our EU-sponsored research in the domain of individual knowledge management and collaborative learning: the MailTack system. MailTack is a stand-alone software tool that...
Marco C. Bettoni, Robert Ottiger, Rolf Todesco, Ku...