Flow of Information in Feed-Forward Denoising Neural Networks
暂无分享,去创建一个
[1] Antonio Salmerón,et al. Multivariate Imputation of Qualitative Missing Data Using Bayesian Networks , 2004 .
[2] Xiaogang Wang,et al. Deep Learning Face Representation from Predicting 10,000 Classes , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[3] Ana Fred. Structural, syntactic, and statistical pattern recognition : joint IAPR international workshops, SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004 : proceedings , 2004 .
[4] Naftali Tishby,et al. The information bottleneck method , 2000, ArXiv.
[5] Naren Ramakrishnan,et al. An integrated data mining framework for analysis and prediction of battery characteristics , 2014, 2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA).
[6] Saifur Rahman,et al. Analyzing Invariants in Cyber-Physical Systems using Latent Factor Regression , 2015, KDD.
[7] David J. Schwab,et al. An exact mapping between the Variational Renormalization Group and Deep Learning , 2014, ArXiv.
[8] Naren Ramakrishnan,et al. Time series forecasting via noisy channel reversal , 2015, 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP).
[9] Kyoung-jae Kim,et al. Financial time series forecasting using support vector machines , 2003, Neurocomputing.
[10] Pascal Vincent,et al. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion , 2010, J. Mach. Learn. Res..
[11] Enhong Chen,et al. Image Denoising and Inpainting with Deep Neural Networks , 2012, NIPS.
[12] Naren Ramakrishnan,et al. Online denoising of discrete noisy data , 2015, 2015 IEEE International Symposium on Information Theory (ISIT).
[13] Naren Ramakrishnan,et al. Wikipedia in the Tourism Industry: Forecasting Demand and Modeling Usage Behavior , 2016, AAAI.
[14] Christopher M. Bishop. Theoretical Foundations of Neural Networks , 1996 .
[15] Naftali Tishby,et al. Deep learning and the information bottleneck principle , 2015, 2015 IEEE Information Theory Workshop (ITW).
[16] Honglak Lee,et al. Deep learning for detecting robotic grasps , 2013, Int. J. Robotics Res..
[17] Pejman Khadivi,et al. Online Denoising Solutions for Forecasting Applications , 2016 .
[18] Yossi Aviv,et al. A Time-Series Framework for Supply-Chain Inventory Management , 2003, Oper. Res..
[19] HuiMing Li. Deep Learning for Image Denoising , 2014 .
[20] Jürgen Schmidhuber,et al. Deep learning in neural networks: An overview , 2014, Neural Networks.
[21] Madhav V. Marathe,et al. Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions , 2014, SDM.