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Statistical classification / Support vector machine / Normal distribution / Kernel trick / Hidden Markov model / Gaussian process / Conditional random field / Statistics / Machine learning / Markov models


Gaussian Process Classification for Segmenting and Annotating Sequences Yasemin Altun Department of Computer Science, Brown University, Providence, RI[removed]USA Thomas Hofmann
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Document Date: 2008-12-01 11:19:16


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City

Kimeldorf / Providence / Lawrence / Banff / HM / /

Company

Neural Information Processing Systems / Artificial Neural Networks / MIT Press / Weston / HP / /

Country

Germany / Jordan / Canada / /

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Event

Product Issues / Product Recall / /

Facility

Brown University / USA Max Planck Institute / Australian National University / /

IndustryTerm

intractable networks / forward-backward algorithm / sparse algorithm / inner product / sparse solution / proposed optimization algorithms / sparse solutions / non-parametric tools / column generation algorithm / markov networks / natural language processing / inference tool / perceptron algorithms / subsequent processing stages / on finding sparse solutions / /

Organization

MIT Media Lab. / National Science Foundation / Brown University / MIT / Australian National University / Canberra / USA Max Planck Institute for Biological Cybernetics / Segmenting and Annotating Sequences Yasemin Altun Department of Computer Science / Pattern Analysis and Machine Intelligence / USA Thomas Hofmann Department of Computer Science / /

Person

Michelle Gregory / /

Position

D. J. / Prime Minister / Singer / generative probabilistic model for labeled observation sequences / /

Product

Precision- / Accuracy 0.76 DGPS2 / /

ProgrammingLanguage

T / /

ProvinceOrState

Rhode Island / North Dakota / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / Machine Learning / Journal of Machine Learning Research / /

Technology

GPSC Optimization Algorithm / speech recognition / natural language processing / forward-backward algorithm Algorithm / boosting algorithm / proposed optimization algorithms / GPS / Mean-field algorithms / sparse algorithm / Data Mining / Machine Learning / column generation algorithm / perceptron algorithms / forward-backward algorithm / /

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