Protein interaction detection in sentences via Gaussian Processes: a preliminary evaluation

نویسندگان

  • Tamara Polajnar
  • Simon Rogers
  • Mark A. Girolami
چکیده

The non-parametric deterministic Support Vector Machines (SVMs) produce high levels of performances in text classification. This article offers a much needed evaluation of the Gaussian Process (GP) classifier, as a non-parametric probabilistic analogue to SVMs, which has been rarely applied to text classification. We provide an extensive experimental comparison of the performance and properties of these competing classifiers on the challenging problem of protein interaction detection in biomedical publications. Our results show that GPs can match the performance of SVMs without the need for costly margin parameter tuning, whilst offering the advantage of an extendable probabilistic framework for text classification.

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عنوان ژورنال:
  • International journal of data mining and bioinformatics

دوره 5 1  شماره 

صفحات  -

تاریخ انتشار 2011