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FUIN
2006
95views more  FUIN 2006»
15 years 6 months ago
Multistrategy Operators for Relational Learning and Their Cooperation
Traditional Machine Learning approaches based on single inference mechanisms have reached their limits. This causes the need for a framework that integrates approaches based on aba...
Floriana Esposito, Nicola Fanizzi, Stefano Ferilli...
JCAL
1998
94views more  JCAL 1998»
15 years 6 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...
PAMI
2011
15 years 1 months ago
Semi-Supervised Learning via Regularized Boosting Working on Multiple Semi-Supervised Assumptions
—Semi-supervised learning concerns the problem of learning in the presence of labeled and unlabeled data. Several boosting algorithms have been extended to semi-supervised learni...
Ke Chen, Shihai Wang
PAKDD
2011
ACM
473views Data Mining» more  PAKDD 2011»
15 years 3 days 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
EUROMICRO
2009
IEEE
16 years 1 months ago
Exercise Generation by Group Models for Autonomous Web-Based Learning
Abstract— Creating exercises for learners requires significant time. This is one reason, beside difficulties of discussing individualized tasks in a classroom setting, why often ...
Michael Sonntag