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ORCIDNeural Networks, Volume 64
Volume 64, April 2015
- Yoshua Bengio, Honglak Lee:
Editorial introduction to the Neural Networks special issue on Deep Learning of Representations. 1-3 - Hannes Schulz, KyungHyun Cho, Tapani Raiko
, Sven Behnke:
Two-layer contractive encodings for learning stable nonlinear features. 4-11 - Mathias Berglund, Tapani Raiko, KyungHyun Cho:
Measuring the usefulness of hidden units in Boltzmann machines with mutual information. 12-18 - Sangwook Kim, Zhibin Yu, Rhee Man Kil, Minho Lee:
Deep learning of support vector machines with class probability output networks. 19-28 - Stefan Elfwing, Eiji Uchibe, Kenji Doya:
Expected energy-based restricted Boltzmann machine for classification. 29-38 - Tara N. Sainath, Brian Kingsbury, George Saon, Hagen Soltau, Abdel-rahman Mohamed, George E. Dahl, Bhuvana Ramabhadran:
Deep Convolutional Neural Networks for Large-scale Speech Tasks. 39-48 - Javier Gonzalez-Dominguez, Ignacio López-Moreno, Pedro J. Moreno, Joaquín González-Rodríguez:
Frame-by-frame language identification in short utterances using deep neural networks. 49-58 - Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron C. Courville, Mehdi Mirza, Benjamin Hamner, William Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Tudor Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Zhang Chuang, Yoshua Bengio:
Challenges in representation learning: A report on three machine learning contests. 59-63
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