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IEEE Transactions on Audio, Speech, and Language Processing, ISSN 1558-7916, 01/2012, Volume 20, Issue 1, pp. 14 - 22
Gaussian mixture models are currently the dominant technique for modeling the emission distribution of hidden Markov models for speech recognition. We show... 
Training | Computational modeling | Hidden Markov models | Artificial neural networks | Speech recognition | Acoustic modeling | neural networks | Speech | Data models | deep belief networks (DBNs) | phone recognition | ACOUSTICS | NETS | NEURAL-NETWORKS | ALGORITHM | CLASSIFICATION | SPEECH RECOGNITION | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 09/2016, Volume 17
To infer multilayer deep representations of high-dimensional discrete and nonnegative real vectors, we propose an augmentable gamma belief network (GBN) that... 
Deep learning | Topic modeling | Bayesian nonparametrics | Multilayer representation | Poisson factor analysis | Unsupervised learning | deep learning | DEEP | topic modeling | multilayer representation | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | unsupervised learning
Journal Article
Expert Systems With Applications, ISSN 0957-4174, 03/2016, Volume 46, pp. 139 - 144
Journal Article
Pattern Recognition, ISSN 0031-3203, 01/2017, Volume 61, pp. 686 - 701
Journal Article
IEEE Transactions on Audio, Speech, and Language Processing, ISSN 1558-7916, 04/2013, Volume 21, Issue 4, pp. 697 - 710
Fusing the advantages of multiple acoustic features is important for the robustness of voice activity detection (VAD). Recently, the machine-learning-based... 
Training | Support vector machines | Deep learning | Fuses | information fusion | voice activity detection | Feature extraction | Speech | Acoustics | Speech processing | MULTIPITCH TRACKING | ALGORITHM | CLASSIFICATION | SEGREGATION | NOISY | STATISTICAL-MODEL | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, ISSN 1939-1404, 06/2015, Volume 8, Issue 6, pp. 2381 - 2392
Journal Article
Neurocomputing, ISSN 0925-2312, 08/2014, Volume 137, pp. 47 - 56
Journal Article
Applied Energy, ISSN 0306-2619, 11/2016, Volume 182, pp. 80 - 93
With the rapid growth of wind power penetration into modern power grids, wind speed forecasting (WSF) plays an increasingly significant role in the planning... 
Deep learning | Wavelet transform | Wind speed forecast | Deep belief network | Quantile regression | REGRESSION | FARMS | ENERGY & FUELS | WAVELET | MODEL | ARTIFICIAL NEURAL-NETWORKS | ENGINEERING, CHEMICAL | FRAMEWORK | PREDICTION INTERVALS | Case studies | Control engineering | Forecasts and trends
Journal Article
Applied Soft Computing Journal, ISSN 1568-4946, 01/2018, Volume 62, pp. 251 - 258
There are two major challenges in the current high throughput screening drug design: the large number of descriptors which may also have autocorrelations and,... 
Deep neural network | Drug design | Deep belief network | QSAR | Biological activity prediction | RANDOM FOREST | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | PREDICTION | MOLECULES | NETS | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | QUANTITATIVE STRUCTURE | ARCHITECTURES | Image processing | Public opinion | Neural networks | Analysis
Journal Article
IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, 06/2017, Volume 55, Issue 6, pp. 3516 - 3530
Journal Article
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), ISSN 2329-9290, 04/2014, Volume 22, Issue 4, pp. 778 - 784
Journal Article
Energy, ISSN 0360-5442, 11/2016, Volume 115, pp. 1688 - 1700
A number of recent studies use deep belief networks (DBN) with a great success in various applications such as image classification and speech recognition. In... 
Deep belief networks | Restricted Boltzmann machines | Short-term forecasting | Hourly electricity load | Electricity load forecasting | Neural networks | SYSTEM | PRICES | GRIDS | ENERGY & FUELS | ENERGY-CONSUMPTION | TERM | ARTIFICIAL NEURAL-NETWORKS | THERMODYNAMICS | MODELS | GAS | Computer science | Usage | Forecasts and trends | Electric power systems | Analysis
Journal Article
Journal Article
Mechanical Systems and Signal Processing, ISSN 0888-3270, 02/2018, Volume 100, pp. 743 - 765
The vibration signals collected from rolling bearing are usually complex and non-stationary with heavy background noise. Therefore, it is a great challenge to... 
Exponential moving average | Feature learning | Improved convolutional deep belief network | Rolling bearing | Compressed sensing | SYSTEM | ROTATING MACHINERY | ENGINEERING, MECHANICAL | VECTOR | PREDICTION | EMPIRICAL MODE DECOMPOSITION | EEMD | NEURAL-NETWORK | INTELLIGENT DIAGNOSIS | SPECTRUM | ENTROPY
Journal Article