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UAI
2003
13 years 9 months ago
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
Collaborative filtering (CF) and contentbased filtering (CBF) have widely been used in information filtering applications, both approaches having their individual strengths and...
Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying...
CRIWG
2004
13 years 9 months ago
A Tailorable Collaborative Learning System That Combines OGSA Grid Services and IMS-LD Scripting
This paper presents Gridcole, a new collaborative learning system that can be easily tailored by educators in order to support their own CSCL scenarios, using computing services pr...
Miguel L. Bote-Lorenzo, Luis M. Vaquero-Gonz&aacut...
ICDM
2010
IEEE
128views Data Mining» more  ICDM 2010»
13 years 5 months ago
User-Based Active Learning
Active learning has been proven a reliable strategy to reduce manual efforts in training data labeling. Such strategies incorporate the user as oracle: the classifier selects the m...
Christin Seifert, Michael Granitzer
IJCV
2011
264views more  IJCV 2011»
13 years 2 months ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman
PAKDD
2011
ACM
473views Data Mining» more  PAKDD 2011»
13 years 1 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