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» Evaluating the Impact of Coder Errors on Active Learning
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BMCBI
2006
151views more  BMCBI 2006»
14 years 9 months ago
Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues
Background: Word sense disambiguation (WSD) is critical in the biomedical domain for improving the precision of natural language processing (NLP), text mining, and information ret...
Hua Xu, Marianthi Markatou, Rositsa Dimova, Hongfa...
ILP
2003
Springer
15 years 2 months ago
A Comparative Evaluation of Feature Set Evolution Strategies for Multirelational Boosting
Boosting has established itself as a successful technique for decreasing the generalization error of classification learners by basing predictions on ensembles of hypotheses. Whil...
Susanne Hoche, Stefan Wrobel
75
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ICML
2010
IEEE
14 years 10 months ago
Active Risk Estimation
We address the problem of evaluating the risk of a given model accurately at minimal labeling costs. This problem occurs in situations in which risk estimates cannot be obtained f...
Christoph Sawade, Niels Landwehr, Steffen Bickel, ...
IADIS
2004
14 years 11 months ago
Electronic case studies: a problem-based learning approach
E-Cases is an innovative approach to management development. Traditional case studies typically describe a decision or a problem in a real-life setting. E-Cases encourage students...
Philip M. Drinkwater, Christopher P. Holland, K. N...
TSD
2009
Springer
15 years 4 months ago
Intraclausal Coordination and Clause Detection as a Preprocessing Step to Dependency Parsing
Abstract. The impact of clause and intraclausal coordination detection to dependency parsing of Slovene is examined. New methods based on machine learning and heuristic rules are p...
Domen Marincic, Matjaz Gams, Tomaz Sef