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Machine-to-Machine
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431	Prediction tasks over nodes and edges in networks require careful effort in engineering features for learning algorithms. Recent research in the broader field of representation learning has led to significant progress in Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Feature learning Machine learning Artificial neural networks Computational statistics Deep learning
432	EMV FAQ What is a chip card and why am I getting one? the chip to pay in store or at an ATM. What is EMV? Chip cards are based on a global card payment standard called EMV, currently used in more than 80 countries. There Add to Reading List Source URL: www.fcnb.com Language: English - Date: 2016-07-25 10:42:29 Payment systems Interbank networks ISO standards Ubiquitous computing Embedded systems EMV Smart card Payment card Cash machine Magnetic stripe card Payment terminal Otto.
433	A Tensor Spectral Approach to Learning Mixed Membership Community Models arXiv:1302.2684v4 [cs.LG] 24 OctAnima Anandkumar1 , Rong Ge2 , Daniel Hsu3 , and Sham M. Kakade3 Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-10-27 21:56:48 Networks Graph theory Probability distributions Machine learning Statistical models Community structure Dirichlet distribution Higher-order singular value decomposition Stochastic block model Gibbs sampling Markov chain Tensor
434	Red Hat Enterprise Linux 5.4 Release Notes Release Notes for all architectures. Copyright © 2009 Red Hat, Inc.. This material may only be distributed subject to the Add to Reading List Source URL: centos.org Language: English - Date: 2010-05-10 16:37:50 Red Hat Linux distributions Red Hat Enterprise Linux Libvirt Kernel-based Virtual Machine Linux kernel Xen SystemTap Hypervisor Bugzilla GFS2 Virtual Machine Manager
435	Faculty Members and Labs in Department of Computer Science Professor Masami Hagiya The world is full of computation! From Anshin-Anzen (reliable and safe) to Ayashii-Abunai (enigmatic and adventurous) Whi Add to Reading List Source URL: www.i.u-tokyo.ac.jp Language: English - Date: 2016-04-21 12:04:24 Theoretical computer science Emerging technologies Bioinformatics Computer science Natural computing Quantum computing Computational science Systems biology Computing Quantum information Machine learning Outline of computer science
436	City Commission June 20, 2016 Mayor Mark Warba called the regular meeting of the City Commission to order at 6:30 p.m. Present: Commissioners Lynn Anderson, Tom Hogenson, Lorraine James, and Dan Add to Reading List Source URL: cityofbr.org Language: English - Date: 2016-07-06 10:41:36 Street culture Hawker Vending machine United States House of Representatives Warba Minnesota
437	European Distribution System Operators for Smart Grids ‘Digital DSO’ – a vision and the regulatory environment needed to enable it 7 January 2016 Add to Reading List Source URL: www.edsoforsmartgrids.eu Language: English - Date: 2016-01-07 04:25:42 Electric power distribution Emerging technologies Smart grid Electric power Smart meter Electrical grid Distributed generation Machine to machine
438	CONNECTEC ® Rules and Regulations for B Connected Programs 1 The B Connected Program is exclusive to Boyd Gaming Corporation ("Boyd Gaming") and all of its affiliated, and subsidiary Add to Reading List Source URL: static.boydgaming.net Language: English - Date: 2016-02-12 16:38:33 Slot machine Bingo Gambling Revoke Payment systems Casinos E-commerce
439	YARNMASTER® ZENIT003en Built to see more Add to Reading List Source URL: www.loepfe.com Language: English - Date: 2015-11-11 03:45:13 Yarn Spinning Textiles Fibers Textile industry Yarn clearer Spindle Winding machine
440	Labeled Faces in the Wild: A Survey Erik Learned-Miller, Gary Huang, Aruni RoyChowdhury, Haoxiang Li, Gang Hua Abstract In 2007, Labeled Faces in the Wild was released in an effort to spur research in face recognition, s Add to Reading List Source URL: people.cs.umass.edu Language: English - Date: 2015-08-15 14:59:56 Face recognition Computational neuroscience Machine learning Biometrics Computer vision Facial recognition system Face Recognition Grand Challenge Convolutional neural network Semi-supervised learning Artificial neural network

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