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Neural network
Results: 3284

#	Item
81	SYNAPTOGENESIS ON THE SPINNAKER, MAYEffects Of Real-time Synaptic Plasticity Using Spiking Neural Network Architecture Add to Reading List Source URL: shukla.io - Date: 2015-05-20 02:29:48
82	SpeeDO: Parallelizing Stochastic Gradient Descent for Deep Convolutional Neural Network Zhongyang Zheng HTC Research Beijing, China Add to Reading List Source URL: learningsys.org - Date: 2016-05-25 13:20:13
83	2015 IEEE Intelligent Vehicles Symposium (IV) June 28 - July 1, 2015. COEX, Seoul, Korea Pedestrian Detection Based on Deep Convolutional Neural Network with Ensemble Inference Network Hiroshi Fukui Add to Reading List Source URL: www.murase.m.is.nagoya-u.ac.jp - Date: 2015-07-03 08:04:45
84	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com A Multi-Stream Bi-Directional Recurrent Neural Network for Fine-Grained Action Detection Singh, B.; Jones, M.J.; Marks, T.K.; Tuzel, C.O. Add to Reading List Source URL: www.merl.com - Date: 2016-08-01 12:08:05
85	Bulletin of the Seismological Society of America, Vol. 98, No. 1, pp. 366–382, February 2008, doi: PreSEIS: A Neural Network-Based Approach to Earthquake Early Warning for Finite Faults by Maren Bö Add to Reading List Source URL: eew.caltech.edu - Date: 2012-05-15 11:47:36
86	Gradient Descent and the Structure of Neural Network Cost Functions presentation by Ian Goodfellow adapted for www.deeplearningbook.org Add to Reading List Source URL: www.deeplearningbook.org - Date: 2016-08-16 14:29:07
87	Genome scale classification of recombinant and non-recombinant HIV-1 sequences using artificial neural network ensembles Dr. Ashok Kumar Dwivedi, Assistant Professor, Department of Bioinformatics, Mathematics and Comp Add to Reading List Source URL: www.currentscience.ac.in - Date: 2016-07-11 02:36:03
88	Structured Training for Neural Network Transition-Based Parsing David Weiss Chris Alberti Michael Collins Slav Petrov Google Inc New York, NY Add to Reading List Source URL: www.petrovi.de - Date: 2015-06-02 16:59:02
89	STRUCTURED DISCRIMINATIVE MODELS USING DEEP NEURAL-NETWORK FEATURES R. C. van Dalen, J. Yang, H. Wang, A. Ragni, C. Zhang, M. J. F. Gales Department of Engineering, University of Cambridge, United Kingdom ABSTRACT State- Add to Reading List Source URL: mi.eng.cam.ac.uk - Date: 2015-11-28 19:03:51
90	UNSUPERVISED NEURAL NETWORK BASED FEATURE EXTRACTION USING WEAK TOP-DOWN CONSTRAINTS Herman Kamper1,2 , Micha Elsner3 , Aren Jansen4 , Sharon Goldwater2 1 CSTR and 2 ILCC, School of Informatics, University of Edinburgh, Add to Reading List Source URL: www.cstr.inf.ed.ac.uk - Date: 2015-09-29 11:06:25

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