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AAAI
2007
14 years 13 days ago
Multi-Label Learning by Instance Differentiation
Multi-label learning deals with ambiguous examples each may belong to several concept classes simultaneously. In this learning framework, the inherent ambiguity of each example is...
Min-Ling Zhang, Zhi-Hua Zhou
JCAL
1998
94views more  JCAL 1998»
13 years 9 months ago
Design issues of a distance learning course on Business on the Internet
The paper presents the main design issues of a distance learning course on Business on the Internet. The instructional design is based on a learner centered instructional stratedy...
Krassen Stefanov, Svetoslav Stoyanov, Roumen Nikol...
AIPS
2008
14 years 13 days ago
The Complexity of Optimal Planning and a More Efficient Method for Finding Solutions
We present a faster method of solving optimal planning problems and show that our solution performs up to an order of magnitude faster than Satplan on a variety of problems from t...
Katrina Ray, Matthew L. Ginsberg
CORR
2010
Springer
123views Education» more  CORR 2010»
13 years 8 months ago
Feature Construction for Relational Sequence Learning
Abstract. We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences. To deal with this problem, firstly...
Nicola Di Mauro, Teresa Maria Altomare Basile, Ste...
CVPR
2009
IEEE
15 years 5 months ago
A Min-Max Framework of Cascaded Classifier with Multiple Instance Learning for Computer Aided Diagnosis
The computer aided diagnosis (CAD) problems of detecting potentially diseased structures from medical images are typically distinguished by the following challenging characterist...
Dijia Wu (Rensselaer Polytechnic Institute), Jinbo...