Accelerating Deep Learning with Shrinkage and Recall
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[1] Jeyanthi Narasimhan,et al. Fast Support Vector Machines Using Parallel Adaptive Shrinking on Distributed Systems , 2014, ArXiv.
[2] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[3] Yoshua Bengio,et al. Convolutional networks for images, speech, and time series , 1998 .
[4] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[5] Everette S. Gardner,et al. Exponential smoothing: The state of the art , 1985 .
[6] Rasmus Berg Palm,et al. Prediction as a candidate for learning deep hierarchical models of data , 2012 .
[7] Simon Haykin,et al. GradientBased Learning Applied to Document Recognition , 2001 .
[8] Chris H. Q. Ding,et al. Kernel Alignment Inspired Linear Discriminant Analysis , 2014, ECML/PKDD.
[9] Geoffrey E. Hinton. Training Products of Experts by Minimizing Contrastive Divergence , 2002, Neural Computation.
[10] Geoffrey E. Hinton,et al. Deep Boltzmann Machines , 2009, AISTATS.
[11] Rémi Gribonval,et al. A dynamic screening principle for the Lasso , 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).
[12] Li Deng,et al. Three Classes of Deep Learning Architectures and Their Applications: A Tutorial Survey , 2012 .
[13] Pascal Vincent,et al. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion , 2010, J. Mach. Learn. Res..
[14] Johan A. K. Suykens,et al. Least Squares Support Vector Machine Classifiers , 1999, Neural Processing Letters.
[15] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[16] Jie Wang,et al. Lasso screening rules via dual polytope projection , 2012, J. Mach. Learn. Res..
[17] Andrea Vedaldi,et al. MatConvNet: Convolutional Neural Networks for MATLAB , 2014, ACM Multimedia.
[18] Thorsten Joachims,et al. Making large scale SVM learning practical , 1998 .
[19] Feiping Nie,et al. A Closed Form Solution to Multi-View Low-Rank Regression , 2015, AAAI.
[20] Liana L. Fong,et al. Analysis and Modeling of Social Influence in High Performance Computing Workloads , 2011, Euro-Par.
[21] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[22] Brendan J. Frey,et al. Bayesian prediction of tissue-regulated splicing using RNA sequence and cellular context , 2011, Bioinform..
[23] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[24] Xiangliang Zhang,et al. Virtual machine migration in an over-committed cloud , 2012, 2012 IEEE Network Operations and Management Symposium.
[25] P. Baldi,et al. Searching for exotic particles in high-energy physics with deep learning , 2014, Nature Communications.
[26] VincentPascal,et al. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion , 2010 .
[27] J. Manyika. Big data: The next frontier for innovation, competition, and productivity , 2011 .
[28] P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .
[29] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[30] Xiangliang Zhang,et al. TideWatch: Fingerprinting the cyclicality of big data workloads , 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.
[31] Yoshua. Bengio,et al. Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..