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Random neural network
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11	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 Language: English - Date: 2016-07-12 11:46:12 Markov models Machine learning Artificial intelligence Learning Computational linguistics Speech recognition software Computer accessibility Speech recognition Hidden Markov model Conditional random field Language model Image segmentation
12	Learning Depth-Sensitive Conditional Random Fields for Semantic Segmentation of RGB-D Images Add to Reading List Source URL: amueller.github.io Language: English - Date: 2016-08-04 15:59:56 Computational neuroscience Machine learning Conditional random field Computer vision Image segmentation Support vector machine Convolutional neural network Artificial neural network
13	College of Letters and Science Department of Statistics UC Davis Statistical Sciences Symposium, 2015 Add to Reading List Source URL: www.stat.ucdavis.edu Language: English - Date: 2016-02-18 12:23:48 Network theory Exponential random graph models Complex network Network science Social network Climate as complex networks Self-organization Graphical model Artificial neural network
14	DETECTING UNSAFE DRIVING PATTERNS USING DISCRIMINATIVE LEARNING Yue Zhou†, Wei Xu‡, Huazhong Ning†, Yihong Gong‡, Thomas S. Huang† †Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL 61 Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2008-05-05 15:25:20 Machine learning Conditional random field Pattern recognition Supervised learning Hidden Markov model Support vector machine Semi-supervised learning Expectationmaximization algorithm Mixture model Artificial neural network Viterbi algorithm
15	The development of a new docking score, taking account of the fourth dimension Rob Smith, Ben Tehan, Andrea Bortolato, Simon Cross Heptares Therapeutics Ltd., BioPark, Broadwater Road, Welwyn Garden City, Hertfordshire, Add to Reading List Source URL: cisrg.shef.ac.uk Language: English - Date: 2016-07-22 08:25:51 Computational chemistry Medicinal chemistry Computational neuroscience Drug discovery Deep learning Artificial neural network Random forest Docking TensorFlow Scoring rule
16	AUTOMATIC DRUM TRANSCRIPTION USING BI-DIRECTIONAL RECURRENT NEURAL NETWORKS Carl Southall, Ryan Stables, Jason Hockman Digital Media Technology Laboratory (DMT Lab) Birmingham City University Birmingham, United Kingdom Add to Reading List Source URL: wp.nyu.edu Language: English - Date: 2016-08-16 16:20:28 Artificial neural networks Recurrent neural network Deep learning Long short-term memory Groove Drum kit International Society for Music Information Retrieval Random neural network
17	Sensor Substitution for Video-based Action Recognition Christian Rupprecht∗,1,2 , Colin Lea∗,2 Federico Tombari1,3 , Nassir Navab1,2 , Gregory D. Hager2 Abstract— There are many applications where domainspecific se Add to Reading List Source URL: campar.in.tum.de Language: English - Date: 2016-03-04 11:42:56 Computational neuroscience Artificial neural networks Computer vision Convolutional neural network Deep learning Conditional random field Robotics Activity recognition Optical flow Cellular neural network
18	Programming with “Big Code”: Lessons, Techniques and Applications Pavol Bielik1 , Veselin Raychev1 , and Martin Vechev1 1 Department of Computer Science, ETH Zurich, Switzerland Add to Reading List Source URL: www.srl.inf.ethz.ch Language: English - Date: 2015-04-14 05:42:43 Computing Artificial intelligence Machine learning Graphical models Structured prediction Computational statistics Statistical classification Conditional random field Probabilistic programming language Inference Artificial neural network Support vector machine
19	A Decision Tree Framework for Spatiotemporal Sequence Prediction Taehwan Kim Yisong Yue Add to Reading List Source URL: www.yisongyue.com Language: English - Date: 2015-06-03 14:15:40 Machine learning Conditional random field Structured prediction Hidden Markov model Artificial neural network Dynamic programming Decision tree learning Pattern recognition Recursion Supervised learning
20	Semantic Segmentation With Object Clique Potentials Xiaojuan Qi Jianping Shi Shu Liu Renjie Liao The Chinese University of Hong Kong Add to Reading List Source URL: www.cse.cuhk.edu.hk Language: English - Date: 2015-09-29 05:12:00 Artificial intelligence Computational neuroscience Computer vision Cybernetics Applied mathematics Image segmentation Convolutional neural network Graphical models Outline of object recognition Conference on Computer Vision and Pattern Recognition Conditional random field Initial and terminal objects

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