Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Robust AUC Maximization Framework with Simultaneous Outlier Detection
  and Feature Selection for Positive-Unlabeled Classification   The positive-unlabeled (PU) classification is a common scenario in real-world
applications such as healthcare, text classification, and bioinformatics, in
which we only observe a few samples labeled as "positive" together with a large
volume of "unlabeled" samples that may contain both positive and negative
samples. Building robust classifier for the PU problem is very challenging,
especially for complex data where the negative samples overwhelm and mislabeled
samples or corrupted features exist. To address these three issues, we propose
a robust learning framework that unifies AUC maximization (a robust metric for
biased labels), outlier detection (for excluding wrong labels), and feature
selection (for excluding corrupted features). The generalization error bounds
are provided for the proposed model that give valuable insight into the
theoretical performance of the method and lead to useful practical guidance,
e.g., to train a model, we find that the included unlabeled samples are
sufficient as long as the sample size is comparable to the number of positive
samples in the training process. Empirical comparisons and two real-world
applications on surgical site infection (SSI) and EEG seizure detection are
also conducted to show the effectiveness of the proposed model.

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The categories of this paper are: mtrl-th
28
The categories of this paper are: alg-geom
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The categories of this paper are: cmp-lg
6
The categories of this paper are: astro-ph
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The categories of this paper are: atom-ph
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The categories of this paper are: solv-int
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The categories of this paper are: econ
2
The categories of this paper are: math
31
The categories of this paper are: ao-sci
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The categories of this paper are: quant-ph
3
The categories of this paper are: physics
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The categories of this paper are: hep-lat
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The categories of this paper are: funct-an
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The categories of this paper are: nlin
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The categories of this paper are: hep-th
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The categories of this paper are: patt-sol