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ITS
2010
Springer
171views Multimedia» more  ITS 2010»
14 years 10 days ago
Identifying Problem Localization in Peer-Review Feedback
Abstract. In this paper, we use supervised machine learning to automatically identify the problem localization of peer-review feedback. Using five features extracted via Natural L...
Wenting Xiong, Diane J. Litman
CORR
2002
Springer
86views Education» more  CORR 2002»
13 years 7 months ago
The Management of Context-Sensitive Features: A Review of Strategies
In this paper, we review five heuristic strategies for handling context-sensitive features in supervised machine learning from examples. We discuss two methods for recovering lost...
Peter D. Turney
ICML
2002
IEEE
14 years 8 months ago
Partially Supervised Classification of Text Documents
We investigate the following problem: Given a set of documents of a particular topic or class ?, and a large set ? of mixed documents that contains documents from class ? and othe...
Bing Liu, Wee Sun Lee, Philip S. Yu, Xiaoli Li
EDM
2010
140views Data Mining» more  EDM 2010»
13 years 9 months ago
Assessing Reviewer's Performance Based on Mining Problem Localization in Peer-Review Data
Current peer-review software lacks intelligence for responding to students' reviewing performance. As an example of an additional intelligent assessment component to such soft...
Wenting Xiong, Diane J. Litman, Christian D. Schun...
ICIAP
2005
ACM
14 years 7 months ago
Learning Intrusion Detection: Supervised or Unsupervised?
Abstract. Application and development of specialized machine learning techniques is gaining increasing attention in the intrusion detection community. A variety of learning techniq...
Pavel Laskov, Patrick Düssel, Christin Sch&au...