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» Learning a Classification Model for Segmentation
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126
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SIGSOFT
2005
ACM
16 years 3 months ago
Applying classification techniques to remotely-collected program execution data
There is an increasing interest in techniques that support measurement and analysis of fielded software systems. One of the main goals of these techniques is to better understand ...
Murali Haran, Alan F. Karr, Alessandro Orso, Adam ...
102
Voted
ACL
2009
15 years 13 days ago
Learning Semantic Correspondences with Less Supervision
A central problem in grounded language acquisition is learning the correspondences between a rich world state and a stream of text which references that world state. To deal with ...
Percy Liang, Michael I. Jordan, Dan Klein
139
Voted
ESANN
2006
15 years 4 months ago
Margin based Active Learning for LVQ Networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...
129
Voted
EVOW
2008
Springer
15 years 4 months ago
A Hybrid Random Subspace Classifier Fusion Approach for Protein Mass Spectra Classification
Classifier fusion strategies have shown great potential to enhance the performance of pattern recognition systems. There is an agreement among researchers in classifier combination...
Amin Assareh, Mohammad Hassan Moradi, L. Gwenn Vol...
109
Voted
ICML
2005
IEEE
16 years 3 months ago
Closed-form dual perturb and combine for tree-based models
This paper studies the aggregation of predictions made by tree-based models for several perturbed versions of the attribute vector of a test case. A closed-form approximation of t...
Pierre Geurts, Louis Wehenkel