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ICANN
2011
Springer
13 years 1 months ago
Learning from Multiple Annotators with Gaussian Processes
Abstract. In many supervised learning tasks it can be costly or infeasible to obtain objective, reliable labels. We may, however, be able to obtain a large number of subjective, po...
Perry Groot, Adriana Birlutiu, Tom Heskes
ALDT
2011
Springer
262views Algorithms» more  ALDT 2011»
12 years 9 months ago
Learning Complex Concepts Using Crowdsourcing: A Bayesian Approach
Abstract. We develop a Bayesian approach to concept learning for crowdsourcing applications. A probabilistic belief over possible concept definitions is maintained and updated acc...
Paolo Viappiani, Sandra Zilles, Howard J. Hamilton...
CVPR
2012
IEEE
12 years 2 days ago
Learning features on robotic surgical tools
Computer-aided surgical interventions in both manual and robotic procedures have been shown to improve patient outcomes and enhance the skills of the human physician. Tool trackin...
Austin Reiter, Peter K. Allen, Tao Zhao
JMLR
2012
12 years 3 days ago
Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets
We propose a new method for comparing learning algorithms on multiple tasks which is based on a novel non-parametric test that we call the Poisson binomial test. The key aspect of...
Alexandre Lacoste, François Laviolette, Mar...
IEAAIE
2011
Springer
13 years 1 months ago
A Computational Model of Habit Learning to Enable Ambient Support for Lifestyle Change
Agent-based applications have the potential to assist humans in their lifestyle change, for instance eliminating addictive behaviours or adopting new healthy behaviours. In order t...
Michel C. A. Klein, Nataliya M. Mogles, Jan Treur,...