PPT-Learning Preferences on Trajectories via Iterative Improvement

Ashesh Jain Thorsten Joachims Ashutosh Saxena Cornell University Motivation High DoF robots Generate multiple trajectories for a task Only a few are desirable by user. Moore Professor School of Computer Science Carnegie Mellon University wwwcscmueduawm awmcscmuedu 4122687599 brPage 2br brPage 3br moveset i brPage 4br brPage 5br brPage 6br brPage 7br Idea One Idea Two Idea Three brPage 8br i exp brPage 9br brPage 1 Functions and Memory. Justin . Chumbley. Why do we need more than linear analysis?. What is . Lyapunov. theory? . Its components?. What does it bring?. Application: episodic learning/memory. Linearized stability of non-linear systems: Failures. Computations. K-means. Performance of K-Means. Smith Waterman is a non iterative case and of course runs fine. Matrix Multiplication . 64 cores. Square blocks Twister. Row/Col . decomp. Twister. Modeling and Analysis. By: Shahab Helmi. Outline. Larger datasets are becoming available from GPS, GSM, RFID, and other sensors.. Interest in movement has shifted from . raw movement data analysis . to more . Challenges . to Longitudinal Research on Mental Health. William R. . Avison, PhD, FCAHS. Departments of Sociology, Paediatrics,. and Epidemiology and Biostatistics. Western University. Chair, Division of Children’s Health & Therapeutics. When Context Matters. Ashesh Jain, Shikhar Sharma . Thorsten Joachims and Ashutosh . Saxena. Outline. Motivation. Approach. Context-based score. Feedback mechanism. Learning algorithm. Results. Jain, Sharma, Joachims, Saxena. Computations. K-means. Performance of K-Means. Smith Waterman is a non iterative case and of course runs fine. Matrix Multiplication . 64 cores. Square blocks Twister. Row/Col . decomp. Twister. Hoday. . Stearns. Advisor: Professor Masayoshi . Tomizuka. PhD Seminar Presentation. 2011-05-04. 1. /42. Semiconductor. manufacturing. Courtesy of ASML. Photolithography. 2. /42. Advances in Photolithography. Copyright 2014 . Cengage. Learning. All rights reserved.. Your thoughts?. “I was always making things. Even though art was what I did every day, it didn’t even occur to me that I would be an artist.”. 2:00pm,. . TUC . Great Hall. Criterion 4 . –. . Teaching and Learning: Evaluation and Improvement. The institution demonstrates responsibility for the quality of its educational programs, learning environments, and support services, and it evaluates their effectiveness for student learning through processes designed to promote continuous improvement.. Secondary School Leadership Conference    Learning and Improving Together March 2016 Graeme Logan - Strategic Director - Education Scotland Overview of presentation Education Scotland priorities 2016/17 Trajectories of Care at the End of Life in New Zealand interRAI Services and TAS Wellington, May 2019 New Zealand Births and Deaths 1876 to 2018 Baby Boomers are usually regarded as those born in the years 1946–65. In New Zealand the increase in births began earlier, in 1935, and the number of births peaked in 1961. Healthcare Learning . Collaboratives. : . Lessons . Learned and . Future Opportunities. Baltimore, MD: November 4 . ,. 2015. November 4, 2015. Donald M. Berwick, MD. President Emeritus and Senior Fellow. Delivery System Science to Improve Performance. November 11, 2015. Brian S. Mittman, PhD. Dept. . of Research and Evaluation, Kaiser Permanente Southern . California. US . Dept. of Veterans Affairs Quality Enhancement Research Initiative (QUERI).