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» A selective sampling approach to active feature selection
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BMCBI
2010
158views more  BMCBI 2010»
13 years 5 months ago
A Bayesian network approach to feature selection in mass spectrometry data
Background: Time-of-flight mass spectrometry (TOF-MS) has the potential to provide non-invasive, high-throughput screening for cancers and other serious diseases via detection of ...
Karl W. Kuschner, Dariya I. Malyarenko, William E....
EMNLP
2010
13 years 3 months ago
Discriminative Sample Selection for Statistical Machine Translation
Production of parallel training corpora for the development of statistical machine translation (SMT) systems for resource-poor languages usually requires extensive manual effort. ...
Sankaranarayanan Ananthakrishnan, Rohit Prasad, Da...
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 6 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
PCM
2004
Springer
114views Multimedia» more  PCM 2004»
13 years 10 months ago
Sample Selection Strategies for Relevance Feedback in Region-Based Image Retrieval
The success of the relevance feedback search paradigm in image retrieval is influenced by the selection strategy employed by the system to choose the images presented to the user ...
Marin Ferecatu, Michel Crucianu, Nozha Boujemaa
ICCV
2003
IEEE
14 years 7 months ago
Automatically Labeling Video Data Using Multi-class Active Learning
Labeling video data is an essential prerequisite for many vision applications that depend on training data, such as visual information retrieval, object recognition, and human act...
Rong Yan, Jie Yang, Alexander G. Hauptmann