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#	Item
61	Poster: A DDoS Peak Traffic Volume Prediction Method Based on Machine Learning Shuang Wei† , Yijing Ding† , Tongxin Li† , Shuaifu Dai‡ , Xinfeng Wu† and Xinhui Han†∗ † Peking University ‡ CNCERT/CC Add to Reading List Source URL: www.ieee-security.org Language: English - Date: 2017-04-27 07:43:28 Denial-of-service attacks Statistical inference Cyberwarfare Estimation theory Computing Denial-of-service attack Internet Relay Chat Domain name system Anycast Cross-validation Regression analysis Prediction
62	Learning Linguistic Descriptors of User Roles in Online Communities Alex Wang1 , William L. Hamilton2 , Jure Leskovec2 1 School of Engineering and Applied Sciences, Harvard University, Cambridge MA, Computer Scie Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2016-10-27 12:19:11 Statistical natural language processing World Wide Web Digital media Internet culture Subreddits Crowdsourcing Reddit Collaboration /r/IAmA Oriented FAST and rotated BRIEF Topic model Select
63	Research Centres & SupervisorsEducation Abydos, a game changer for learning fractions Add to Reading List Source URL: www.ecu.edu.au Language: English - Date: 2018-08-20 03:58:37 Education Learning Educational psychology Pedagogy Critical pedagogy Education reform Boston University Wheelock College of Education & Human Development Preschool Educational technology Student engagement Early childhood education Culturally relevant teaching
64	A Decentralised Big Data and Machine Learning Network Powered by a Computing-Centric Blockchain by The DxChain Team () Last Updated: June 20, 2018 Versiondraft) Add to Reading List Source URL: dxchain.com Language: English - Date: 2018-10-11 05:57:12 Computing Blockchains Cryptocurrencies Free software Data management Bitcoin Cross-platform software Ethereum Apache Hadoop Bitcoin network Big data Smart contract
65	Programming Languages and Machine Learning Martin Vechev DeepCode.ai and ETH Zurich PL Research: Last 10 years (sample) • (Semi-) Automated Program Synthesis Add to Reading List Source URL: files.sri.inf.ethz.ch Language: English - Date: 2018-09-05 10:57:48 Probabilistic programming language Machine learning Information retrieval Cognition Cognitive science
66	(Dis)connective Practice in Heterotopic Spaces for Networked and Connected Learning Frances Bell Itinerant Scholar Abstract Add to Reading List Source URL: www.networkedlearningconference.org.uk Language: English - Date: 2017-05-04 14:07:54 Education Human behavior Learning Alternative education Networked learning Social networking service Heterotopia Disqus Connected learning Social media Peer learning Informal learning
67	Cost-Based Learning for Planning Srinivas Nedunuri and William R. Cook Douglas R. Smith Dept. of Computer Science, University of Texas at Austin Add to Reading List Source URL: www.kestrel.edu Language: English - Date: 2014-10-03 20:52:55 Logic Mathematics Automated theorem proving Logic programming Mathematical logic Logical truth Propositional calculus Substitution Measure theory operator Decomposition of spectrum
68	Choudhury et al. VOL. 10, NO. 10/OCTOBER 2018/J. OPT. COMMUN. NETW. 1 Two Use Cases of Machine Learning for SDN-Enabled IP/Optical Networks: Add to Reading List Source URL: www.research.att.com Language: English - Date: 2018-10-23 16:04:44 Computing Information and communications technology Network architecture Telecommunications engineering Internet architecture Fiber-optic communications Network protocols Reconfigurable optical add-drop multiplexer Multiprotocol Label Switching Optical networking Automatically switched optical network Software-defined networking
69	arXiv:1804.06188v2 [cs.LG] 4 JulVC-Dimension Based Generalization Bounds for Relational Learning Ondˇrej Kuˇzelka∗ Add to Reading List Source URL: arxiv.org Language: English - Date: 2018-07-04 21:40:26 Mathematical logic Model theory Mathematics First-order logic Predicate logic Constructible universe VC dimension Relational model Metalogic Congruence lattice problem
70	Natural Language to Structured Query Generation via Meta-Learning Po-Sen Huang 1 Chenglong Wang 2 Rishabh Singh 3 * Wen-tau Yih 4 Xiaodong He 5 * 1. Introduction Conventional supervised training is a pervasive paradigm Add to Reading List Source URL: uclmr.github.io Language: English - Date: 2018-08-06 06:17:49 Machine learning Learning Artificial intelligence Meta learning Support vector machine Supervised learning Training test and validation sets

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