Ravi Kumar Kondadadi and Surrogate Learning - Free people check

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CiteSeerX — Surrogate Learning- From Feature Independence to...

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Surrogate Learning- From Feature Independence to Semi-Supervised Classification Kumar Kondadadi ... {Surrogate Learning- From Feature Independence to ...

Greg Little’s Turkit: Multi-Pass Annotation Refinement

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... Sriharsha and Ravi Kumar Kondadadi (2009) <a>Surrogate Learning –From Feature Independence to Semi-Supervised Classification</a>. [ ] ...

US Patent Application for METHODS AND SYSTEMS FOR RISK MINING AND FOR...

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One useful technique is described by Sriharsha Veeramachaneni and Ravi Kumar Kondadadi in “Surrogate Learning—From Feature Independence to Semi-Supervised Classification”, Proceedings of the NAACL HLT Workshop on Semi-supervised Learning for Natural Language Processing, pages , Boulder, Colo., June 2009, Association for Com…tional ...

Veeramachaneni and Kondadadi (2009) Surrogate Learning – From Feature...

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It's more fun with classifier algebra today, as we look in our friends at Thomson-Reuters R&D: Veeramachaneni, Sriharsha and Ravi Kumar Kondadadi (2009) Surrogate ...

All web results to the name "Ravi Kumar Kondadadi"

EP A1 - Methods and systems for generating corporate green...

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One useful technique is described by Sriharsha Veeramachaneni and Ravi Kumar Kondadadi in "Surrogate Learning—From Feature Independence to ...

Record Linkage « Another Word For It

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Surrogate Learning – From Feature Independence to Semi-Supervised Classification by Sriharsha Veeramachaneni and Ravi Kumar Kondadadi. Abstract:

Learning Features from Co-occurrences: A Theoretical Analysis - PDF

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... pages [9] Veeramachaneni, Sriharsha, and Ravi Kumar Kondadadi. "Surrogate learning: from feature independence to semi-supervised classification.

Proceedings of the NAACL HLT Workshop on Semi-supervised...

www.cs.brandeis.edu

... bib · Surrogate Learning - From Feature Independence to Semi-Supervised Classification Sriharsha Veeramachaneni and Ravi Kumar Kondadadi, pp. 10–18.

W-NUT The Third Workshop on Noisy User-generated Text (W-NUT 2017)...

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Sriharsha Veeramachaneni and Ravi Kumar Kondadadi Surrogate learning: from feature independence to semi-supervised classification. In Proceedings of the ...

Surrogate Learning - Association for Com…tional Linguistics

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Sriharsha Veeramachaneni and Ravi Kumar Kondadadi. Thomson Reuters Research and Development. Eagan, MN , USA. [harsha.veeramachaneni ...

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Ravi Kumar Kondadadi and Surrogate Learning Free People Check