Gaussian Process Classification for Segmenting and Annotating Sequences

Gaussian Process Classification for Segmenting and Annotating Sequences (2004)

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by Yasemin Altun , Thomas Hofmann , Alexander J. Smola

Venue:	In Proceedings of the International Conference on Machine Learning (ICML
Citations:	29 - 5 self

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@INPROCEEDINGS{Altun04gaussianprocess,
    author = {Yasemin Altun and Thomas Hofmann and Alexander J. Smola},
    title = {Gaussian Process Classification for Segmenting and Annotating Sequences},
    booktitle = {In Proceedings of the International Conference on Machine Learning (ICML},
    year = {2004},
    pages = {2004},
    publisher = {ACM Press}
}

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Abstract

Many real-world classification tasks involve the prediction of multiple, inter-dependent class labels. A prototypical case of this sort deals with prediction of a sequence of labels for a sequence of observations. Such problems arise naturally in the context of annotating and segmenting observation sequences.

Citations

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