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PAMI
2011
15 years 2 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
317
Voted
CVPR
2011
IEEE
14 years 11 months ago
Multi-label Learning with Incomplete Class Assignments
We consider a special type of multi-label learning where class assignments of training examples are incomplete. As an example, an instance whose true class assignment is (c1, c2, ...
Serhat Bucak, Rong Jin, Anil Jain
AI
2006
Springer
15 years 11 months ago
Beyond the Bag of Words: A Text Representation for Sentence Selection
Sentence selection shares some but not all the characteristics of Automatic Text Categorization. Therefore some but not all the same techniques should be used. In this paper we stu...
Maria Fernanda Caropreso, Stan Matwin
EMNLP
2006
15 years 9 months ago
Inducing Temporal Graphs
We consider the problem of constructing a directed acyclic graph that encodes temporal relations found in a text. The unit of our analysis is a temporal segment, a fragment of tex...
Philip Bramsen, Pawan Deshpande, Yoong Keok Lee, R...
MKWI
2008
246views Business» more  MKWI 2008»
15 years 9 months ago
Assessing the effects of IT changes on IT risk - A business process-oriented view
Abstract: The economic relevance of IT risk is increasing due to various operational, technical as well as regulatory reasons. Increasing flexibility of business processes and risi...
Stefan Sackmann