PPT-Markov Nets Dhruv Batra

10708 Recitation 10 30 2008 Contents MRFs Semantics Comparisons with BNs Applications to vision HW4 implementation Semantics Bayes Nets Semantics Markov Nets Semantics Decomposition. T state 8712X action or input 8712U uncertainty or disturbance 8712W dynamics functions XUW8594X w w are independent RVs variation state dependent input space 8712U 8838U is set of allowed actions in state at time brPage 5br Policy action is function (Markov Nets). (Slides from Sam . Roweis. ). Connection to MCMC:. . . MCMC requires sampling a node given its . markov. blanket. . Need to use P(. x|MB. (x)). . . For . Bayes. nets MB(x) contains more. With Fabric. http://docs.fabfile.org. Varun Batra @ Deft Infotech Pvt. Ltd.. I am Lazy!. I need one command to deploy codes.. >fab deploy. That’s what I was talking about . . Varun Batra @ Deft Infotech Pvt. Ltd.. Model Definition. Comparison to Bayes Nets. Inference techniques. Learning Techniques. A. B. C. D. Qn. : What is the. . most likely. . configuration of A&B?. Factor says a=b=0. But, marginal says. Local Primal-Dual Gaps. Dhruv Batra (TTIC). Joint work with: . Daniel . Tarlow. (U Toronto), Sebastian . Nowozin. (MSRC), . Pushmeet. . Kohli. (MSRC), Vladimir . Kolmogorov. (UCL). Overview. Discrete . Larry . Zitnick. (Facebook AI Research). Devi Parikh. (Virginia Tech). Stanislaw . Antol. (Virginia Tech). Aishwarya Agrawal. (Virginia Tech). Overview of Challenge . Outline. Overview of Task and Dataset . Georgia Tech. Topics. : . Toeplitz matrices and convolutions = matrix-. mult. Dilated/a-. trous. . convolutions. Backprop. in conv layers. Transposed convolutions. Administrativia. HW1 extension. . Georgia Tech. Topics. : . Announcements. Transposed . convolutions. Administrativia. HW2 PS2 out. No class on Tuesday 10/03. Guest Lecture by Dr. Stefan Lee on 10/05. No papers to read. No student presentations. . Machine Learning. Stefan Lee. Virginia Tech. Topics: . Decision/Classification . Trees. Ensemble Methods: Bagging, . Boosting. Readings. : Murphy 16.1-. 16.2; Hastie . 9.2; Murphy . 16.4. Administrativia. ECE6504 – Deep Learning for Perception Ashwin Kalyan V Introduction to CAFFE (C) Dhruv Batra 2 Logistic Regression as a Cascade (C) Dhruv Batra 3 Slide Credit: Marc'Aurelio Ranzato , Yann LeCun Machine Learning. Dhruv Batra . Virginia Tech. Topics: . Supervised Learning. General Setup, learning from data. Nearest . Neighbour. Readings. : . Barber 14 (. kNN. ) . Administrativia. New class room. 1980, he earned his Juris Doctor degree from the Fordham University School of Law. 2007, he chairs the National Advisory on South Asian Affairs, a foreign policy think tank, and interacts with the 1980 he earned his Juris Doctor degree from the Fordham University School of Law 2007 he chairs the National Advisory on South Asian Affairs a foreign policy think tank and interacts with the US Congr ASEEPO R T part of ASEEPO future science group ASEEPOSaha, Dubey, Kapoor & Batra www.futuremedicine.com future science group