RMDL

Author:

Kowsari Kamran1,Heidarysafa Mojtaba2,Brown Donald E.3,Meimandi Kiana Jafari2,Barnes Laura E.4

Affiliation:

1. Department of System and Information Engineering, University of Virginia, Charlottesville, VA, USA and Sensing Systems for Health Lab, University of Virginia, Charlottesville, VA USA

2. Department of System and Information Engineering, University of Virginia, Charlottesville, VA, USA

3. Department of System and Information Engineering, University of Virginia, Charlottesville, VA, USA and Data Science Institute, University of Virginia Charlottesville, VA USA and Predictive Technology Laboratory, University of Virginia, Charlottesville, VA USA

4. Department of System and Information Engineering, University of Virginia, Charlottesville, VA, USA and Sensing Systems for Health Lab, University of Virginia, Charlottesville, VA USA and Data Science Institute, University of Virginia Charlottesville, VA USA

Publisher

ACM Press

Reference56 articles.

1. Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, et al. 2016. Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv preprint arXiv:1603.04467 (2016).

2. Yoshua Bengio, Patrice Simard, and Paolo Frasconi. 1994. Learning long-term dependencies with gradient descent is difficult. IEEE transactions on neural networks 5, 2 (1994), 157--166.

3. Bernhard E Boser, Isabelle M Guyon, and Vladimir N Vapnik. 1992. A training algorithm for optimal margin classifiers. In COLT92. ACM, 144--152.

4. Tsung-Han Chan, Kui Jia, Shenghua Gao, Jiwen Lu, Zinan Zeng, and Yi Ma. 2015. PCANet: A simple deep learning baseline for image classification? IEEE Transactions on Image Processing 24, 12 (2015), 5017--5032.

5. Kewen Chen, Zuping Zhang, Jun Long, and Hao Zhang. 2016. Turning from TF-IDF to TF-IGM for term weighting in text classification. Expert Systems with Applications 66 (2016), 245--260.

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