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» Hedging predictions in machine learning
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ICMLA
2009
15 years 2 months ago
Improving Clinical Relevance in Ensemble Support Vector Machine Models of Radiation Pneumonitis Risk
Patients undergoing thoracic radiation therapy can develop radiation pneumonitis (RP), a potentially fatal inflammation of the lungs. Support vector machines (SVMs), a statistical...
Todd W. Schiller, Yixin Chen, Issam El-Naqa, Josep...
CGO
2009
IEEE
15 years 11 months ago
Automatic Feature Generation for Machine Learning Based Optimizing Compilation
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...
Hugh Leather, Edwin V. Bonilla, Michael O'Boyle
ICPR
2004
IEEE
16 years 5 months ago
Relaxation Labeling Processes for Protein Secondary Structure Prediction
The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...
Giacomo Colle, Marcello Pelillo
ICALT
2007
IEEE
15 years 10 months ago
Predicting the Learner's Emotional Reaction towards the Tutor's Intervention
The tutor tries, by using feedbacks, to keep the learner’s attention and to increase his motivation and then his performance. However, the effectiveness of the tutor’s feedbac...
Soumaya Chaffar, Gerardo Cepeda, Claude Frasson
ICML
2010
IEEE
15 years 5 months ago
Forgetting Counts: Constant Memory Inference for a Dependent Hierarchical Pitman-Yor Process
We propose a novel dependent hierarchical Pitman-Yor process model for discrete data. An incremental Monte Carlo inference procedure for this model is developed. We show that infe...
Nicholas Bartlett, David Pfau, Frank Wood