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Searching for "On the Scarcity of Labeled Data." – sorted by Relevance.

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Sequence Selection for Active Learning
by Brigham Anderson, Sajid Siddiqi, Andrew Moore — 2006
… Mellon University Abstract Scarcity of labelled data often hampers the learning of Hidden Markov Models…
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Adaptive Feature Selection for Hyperspectral Data Analysis
by Donna Korycinski, Melba Crawford, J. W. Barnes, Joydeep Ghosh — 2004 — Proceedings of SPIE - The International Society for Optical Engineering, v 5238, Image and Signal Processing for Remote Sensing IX
….edu Abstract- High dimensional inputs coupled with scarcity of labeled data are among the greatest challenges…
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Contextual Wisdom: Social Relations and Correlations for Multimedia Event Annotation
by Amit Zunjarwad, Hari Sundaram
… difficult due to variability of semantics and due to scarcity of labeled data. Events refer to real…
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Research Interests
by Brigham S. Anderson
…, text, and video processing, but scarcity of labelled data often hampers learning. In [2], I introduced…
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Research Statement
by Indraneel Mukherjee
… approaches. Active learning copes with the scarcity of labeled data by allowing the learning algorithm…
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A semi-supervised spam mail detector
by Bernhard Pfahringer — 2006 — In Proceedings of the ECMLPKDD Discovery Challenge Workshop
…, putting even more emphasis on the local neighbourhood of each example. Given the scarcity of labeled data…
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A New Data Selection Approach for Semi-Supervised Acoustic Modeling
by Rong Zhang, Er I. Rudnicky — Proc. of ICASSP 2006
… compared with the true distribution. Due to the scarcity of labeled data, the learned functions obviously…
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Exploitation of Unlabeled Sequences in Hidden Markov Models
by Masashi Inoue, Naonori Ueda — 2003 — IEEE Trans. On Pattern Analysis and Machine Intelligence
… that learned poorly due to the scarcity of labeled data by adding unlabeled data. The classification error rate…
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Unsupervised sense disambiguation using bilingual probabilistic models
by Indrajit Bhattacharya — 2004 — In Proceedings of ACL04
… of labeled data. In an effort to overcome the difficulty of finding sense-labeled training data, researchers…
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Inductive Transfer for Text Classification
by Using Generalized Reliability, Paul N. Bennett, Susan T. Dumais, Eric Horvitz — 2003 — In Proceedings of the ICML-2003 Workshop on
… models 1. Introduction Given the typical scarcity of labeled data for building predictive models…
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