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» A Preference Model for Structured Supervised Learning Tasks
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99
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CI
2002
92views more  CI 2002»
15 years 2 months ago
Model Selection in an Information Economy: Choosing What to Learn
As online markets for the exchange of goods and services become more common, the study of markets composed at least in part of autonomous agents has taken on increasing importance...
Christopher H. Brooks, Robert S. Gazzale, Rajarshi...
110
Voted
CLEF
2010
Springer
15 years 3 months ago
UPMC/LIP6 at ImageCLEFannotation 2010
In this paper, we present the LIP6 annotation models for the ImageCLEFannotation 2010 task. We study two methods to train and merge the results of different classifiers in order to...
Ali Fakeri-Tabrizi, Sabrina Tollari, Nicolas Usuni...
134
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HCI
2009
15 years 11 days ago
Seeing the World through an Expert's Eyes: Context-Aware Display as a Training Companion
Responsive Adaptive Display Anticipates Requests (RADAR) is a domain general system that learns to highlight an individual's preferred information displays, given the current ...
Marc T. Tomlinson, Michael Howe, Bradley C. Love
100
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PAMI
2008
170views more  PAMI 2008»
15 years 2 months ago
Unsupervised Category Modeling, Recognition, and Segmentation in Images
Suppose a set of arbitrary (unlabeled) images contains frequent occurrences of 2D objects from an unknown category. This paper is aimed at simultaneously solving the following rel...
Sinisa Todorovic, Narendra Ahuja
EMNLP
2007
15 years 4 months ago
Bootstrapping Information Extraction from Field Books
We present two machine learning approaches to information extraction from semi-structured documents that can be used if no annotated training data are available, but there does ex...
Sander Canisius, Caroline Sporleder