PPT-Reconstructing Propagation Networks with Natural Diversity

Author Zhe Si Shen WenXu Wang etc Speaker ZhiQiang You Background Knowledge SIS CPContact Process CST Reconstruction FrameworkSIS See Page 1314. Kong Da, Xueyu Lei & Paul McKay. Digit Recognition. Convolutional Neural Network. Inspired by the visual cortex. Our example: Handwritten digit recognition. Reference: . LeCun. et al. . Back propagation Applied to Handwritten Zip Code Recognition. Software. 1. Outline. Do you want to push past the simple NLP models (logistic regression, PCFG, etc.) that we've all been using for 20 years?. Then this tutorial is extremely practical for you!. Models:. Dr Tim Daw. School of International Development University of East Anglia. t.daw@uea.ac.uk. Overview. Epistemology – the nature of knowledge in natural sciences. The ‘scientific method’. Popper – Falsification, Deduction. Viral Marketing in Social . Networks: . Truth . or Fiction?. Thang. N. . Dinh. , Dung T. Nguyen, My T. Thai. Dept. of Computer & Information Science & Engineering. University of Florida, Gainesville, FL. Elisabeth Grondin . Tuber . Definition. A much thickened underground part of a stem or rhizome, e.g., in the potato, serving as a food reserve and bearing buds from which new plants arise. . (Oxford Dictionary). Emmanuel Baccelli, Philippe Jacquet, Bernard Mans, and Georgios Rodolakis. Presented by: Mayank Shekhar. Contents. Information Propagation Speed. Significance. Dependency. Mathematical Model for Delay Tolerant Networks. An introduction to learning internal representations By error Propagation. Presented by:. Kunal Parmar. UHID: 1329834. 1. Outline of the Presentation. Introduction. Historical Background. Perceptron. Model representation and analysis. Presented by:. Ayushi Jain Rahul . Bobhate. Natasha Mandal . Ankur. . Sachdeva. Dung T. Nguyen, . Huiyuan. Zhang, . Soham. Das, My T. Thai, Thang N. . Dinh. Barry Robinson, PhD. Engaging in Promising Practices Conference. South Seattle Community College. Introduction. Aristotle. ‘We are what we repeatedly do. Excellence, therefore, is not an act but a habit.’. Cheng-. Hsien. Lee. 12/14/10. Introduction. Motivation. Back Propagation. Feed-forward pass. Error-back-propagation pass:. MLP Structure. Training Data. Generate from a given A.I.. When . Vx. <0. What have we learned ?. Casting the net widely revisited. Where we are . Casting the Net Widely : General Standards . . Diversity . Liasons. Department Plan for attracting diverse candidates . Networking – meeting diverse candidates and referrals . Psychology 209. February 6, 2013. Homework . 4. Part 1 due Feb 13. Complete . Exercises 5.1 and 5.2.. It may be helpful to . c. arry . out some explorations of parameters, as suggested in Exercise . 5.3. This may help you achieve a solution in the last part of the homework, below. However, no write-up is required for this.. What are they?. Inspired by the Human Brain.. The human brain has about 86 Billion neurons and requires 20% of your body’s energy to function. . These neurons are connected to between 100 Trillion to 1 Quadrillion synapses!. Navigation and Propagation in Networks Michael Goodrich Some slides adapted from slides by Jean Vaucher , Panayiotis Tsaparas , Jure Leskovec , and Christos Faloutsos NE MA Review: Milgram’s experiment