PPT-Flux-anomaly-forced

model intercomparison project FAFMIP Steering committee Jonathan Gregory U Reading and Met Office Stephen Griffies GFDL Detlef Stammer U Hamburg Oleg Saenko . Louise Woodruff, Programme Manager. Forced labour programme . Improve the evidence base on forced . labour. Developing practical and . policy recommendations/solutions/implications . which can lead to a reduction in forced labour in the UK. . Problem motivation. Machine Learning. Anomaly detection example. Aircraft engine features:. . = heat generated. = vibration intensity. …. (vibration). (heat). Dataset:. New engine:. Density estimation. Craig Buchanan. University of Illinois at Urbana-Champaign. CS 598 MCC. 4/30/13. Outline. K-Nearest Neighbor. Neural Networks. Support Vector Machines. Lightweight Network Intrusion Detection (LNID). Dan Whitt. dw494@cam.ac.uk. D. B. Whitt and L. N. Thomas, 2015: Resonant Generation and Energetics of Wind-Forced Near-Inertial Motions in a Geostrophic Flow. . J. Phys. . Oceanogr. .. , 45, 181–208.. Detection. Carolina . Ruiz. Department of Computer Science. WPI. Slides based on . Chapter 10 of. “Introduction to Data Mining”. textbook . by Tan, Steinbach, Kumar. (all figures and some slides taken from this chapter. DETECTION. Scholar: . Andrew . Emmott. Focus: . Machine Learning. Advisors: . Tom . Dietterich. , Prasad . Tadepalli. Donors: . Leslie and Mark Workman. Acknowledgements:. Funding for my research is . YUSRAH NAGUJJA. REFUGEE LAW PROJECT , UGANDA. Introduction . Refugee Law Project is an outreach project of the school of Law, Makerere University . Vision-ensure that all people in Uganda enjoy their human rights, irrespective of their legal status. . 9. Introduction to Data Mining, . 2. nd. Edition. by. Tan. , Steinbach, Karpatne, . Kumar. With additional slides and modifications by Carolina Ruiz, WPI. 11/20/2018. Introduction to Data Mining, 2nd Edition. Shilin . He. ,. . Jieming. Zhu, . Pinjia. . He,. and Michael R. . Lyu. Department of Computer Science and Engineering, . The Chinese University of Hong Kong, Hong Kong. 2016/10/26. Background & Motivation. 14. . World-Leading Research with Real-World Impact!. CS 5323. Outline. Anomaly detection. Facts and figures. Application. Challenges. Classification. Anomaly in Wireless.  . 2. Recent News. Hacking of Government Computers Exposed 21.5 Million People. and . Simultaneous . Estimation of . Forced . Oscillations and . Modes. John . Pierre, U of Wyoming. pierre@uwyo.edu. Dan . Trudnowski. , Montana Tech. dtrudnowski@mtech.edu. Jim Follum, PNNL (formerly at U of Wyoming). Hierarchical Temporal Memory (and LSTM). Jaime Coello de Portugal. Many thanks to . Jochem. . Snuverink. Motivation. Global outlier. Level change. Pattern deviation. Pattern change. Plots from: Ted . N. Gopalswamy, H. Xie, S. Yashiro, and S. Akiyama. NASA/GSFC. SPD Meeting July 8 -11, 2013 Bozeman, Montana. ribbons. . r. . P. Longcope et . al. 2007. Longcope & Beveridge, 2007. Qiu et al. 2007.  . Lesson 7: . Coordination and Collaboration with Stakeholders. The core trainings materials included in this site were created with funding provided by the United States Department of Labor under cooperative agreement number IL‐31474. Mars...