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ECML
2006
Springer
15 years 6 months ago
Bayesian Active Learning for Sensitivity Analysis
Abstract. Designs of micro electro-mechanical devices need to be robust against fluctuations in mass production. Computer experiments with tens of parameters are used to explore th...
Tobias Pfingsten
CVPR
2009
IEEE
16 years 10 months ago
Active Learning for Large Multi-class Problems
Scarcity and infeasibility of human supervision for large scale multi-class classification problems necessitates active learning. Unfortunately, existing active learning methods ...
Prateek Jain (University of Texas at Austin), Ashi...
AIED
2009
Springer
15 years 9 months ago
Fostering engaged and directed learning by activity foregrounding and backgrounding
We propose a design model for guiding learning in exploratory environments through representational choices. Selecting the appropriate representations at the correct granularity ca...
Katherine Howland, Benedict du Boulay, Judith Good
WWW
2006
ACM
16 years 3 months ago
Large-scale text categorization by batch mode active learning
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
Steven C. H. Hoi, Rong Jin, Michael R. Lyu
ICANN
2007
Springer
15 years 9 months ago
A Two-Layer ICA-Like Model Estimated by Score Matching
Abstract. Capturing regularities in high-dimensional data is an important problem in machine learning and signal processing. Here we present a statistical model that learns a nonli...
Urs Köster, Aapo Hyvärinen