Novel applications of Machine Learning to Network Traffic Analysis

PDF Publication Title:

Novel applications of Machine Learning to Network Traffic Analysis ( novel-applications-machine-learning-network-traffic-analysis )

Previous Page View | Next Page View | Return to Search List

Text from PDF Page: 095

[132] Yang Z et al., “Improved Variational Autoencoders for Text Modeling using Dilated Convolutions”. arXiv:1702.08139 [cs.NE]. 2017. [133] Rasmussen C.E. and Williams C.K.I., “Gaussian Processes for Machine Learning”, Chapter 3, MIT Press 2006, Massachusetts Institute of Technology, USA. [134] Williams C.K.I. and Barber D., "Bayesian classification with Gaussian processes," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, no. 12, 1998, pp. 1342-1351. [135] Goodfellow, I et al., "Generative Adversarial Networks". 2014, arXiv:1406.2661 [136] Fernandez G. M. et al., “Ugr'16: a new dataset for the evaluation of cyclostationarity- based network IDSs”. In Computers & Security, 2017. https://nesg.ugr.es/nesg-ugr16/ [137] Wolpert D. H. and Macready W. G., "No free lunch theorems for optimization," in IEEE Transactions on Evolutionary Computation, vol. 1, no. 1, pp. 67-82, Apr 1997. [138] Sønderby, C.K. et al., “Ladder Variational Autoencoders”. 2016, arXiv:1602.02282v3. [139] Johnson, M.J. et al., “Structured VAEs: Composing Probabilistic Graphical Models and Variational Autoencoders”. 2016, arXiv:1603.06277v1. [140] Chopra S., Hadsell R. and LeCun Y., "Learning a similarity metric discriminatively, with application to face verification," 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005, pp. 539-546 vol. 1. [141] AI in Telecom survey (November 2017) web: “https://www.h2o.ai/telecom/ ”, html, as of Nov 29, 2018 [142] Forni A. A., “Gartner Identifies the Top 10 Strategic Technology Trends for 2017”, Gartner,” http://www.gartner.com/newsroom/id/3482617 “ , html, as of Nov 29, 2018 [143] Graeme de Garis A., “Scalable Gaussian process inference using variational methods”. Phd thesis. Department of Engineering, University of Cambridge, September 2016. [144] Santoro A. et al., “One-shot Learning with Memory-Augmented Neural Networks”, May 2016,arXiv:1605.06065 [cs.LG] [145]Vinyals O. et al., “Matching Networks for One Shot Learning”, Jun 2016, arXiv:1606.04080 [cs.LG] [146]Cannady, J. (2000, October). “Next Generation Intrusion Detection: Autonomous Reinforcement Learning of Network Attacks”. Proceedings of the 23rd National Information Systems Security Conference. [147] Zhu M., Hu Z. and Liu P., “Reinforcement Learning Algorithms for Adaptive Cyber Defense against Heartbleed”. ACM Workshop on Moving Target Defense (MTD '14). New York, NY. [148] Mao H. et al., “Resource Management with Deep Reinforcement Learning,” Proc. HotNets 2016, pp. 50–56. [149] Kurakin A., Goodfellow I.J. and Bengio S., “ADVERSARIAL MACHINE LEARNING AT SCALE”. arXiv:1611.01236v2 [cs.CV] 11 Feb 2017 [150] Yuan X. eta al., “Adversarial Examples: Attacks and Defenses for Deep Learning”. arXiv:1712.07107v3 [cs.LG] 7 Jul 2018 [151]Corbett-Davies S., “Algorithmic decision making and the cost of fairness”. arXiv:1701.08230v4 [cs.CY] 10 Jun 2017 Doctoral Thesis: Novel applications of Machine Learning to NTAP - 93

PDF Image | Novel applications of Machine Learning to Network Traffic Analysis

PDF Search Title:

Novel applications of Machine Learning to Network Traffic Analysis

Original File Name Searched:

456453_1175348.pdf

DIY PDF Search: Google It | Yahoo | Bing

Cruise Ship Reviews | Luxury Resort | Jet | Yacht | and Travel Tech More Info

Cruising Review Topics and Articles More Info

Software based on Filemaker for the travel industry More Info

The Burgenstock Resort: Reviews on CruisingReview website... More Info

Resort Reviews: World Class resorts... More Info

The Riffelalp Resort: Reviews on CruisingReview website... More Info

CONTACT TEL: 608-238-6001 Email: greg@cruisingreview.com (Standard Web Page)