PPT-Latent Variables

Naman Agarwal Michael Nute May 1 2013 Latent Variables Contents Definition amp Example of Latent Variables EM Algorithm Refresher Structured SVM with Latent Variables Learning under semisupervision or indirect supervision. Roy Howell. Texas Tech University. Latent Variables, Constructs, and Constructions . Premise: It takes both conceptual clarity and representational accuracy to advance the process of knowledge accumulation.. Clustering. Rajhans . Samdani. ,. . Kai-Wei . Chang. , . Dan . Roth. Department . of Computer Science. University of Illinois at Urbana-. Champaign. Coreference resolution: cluster denotative noun phrases (. Analysis. . . Kai-Wei Chang. Joint work with. . Scott Wen-tau . Yih, Chris Meek. Microsoft Research. Natural Language Understanding. Build an intelligent system that can interact with human using natural language. Latent Classes. A population contains a mixture of individuals of different types (classes). Common form of the data generating mechanism within the classes. Observed outcome y is governed by the . common process . Presented by Zhou Yu. TexPoint fonts used in EMF. . Read the TexPoint manual before you delete this box.: . A. A. A. A. A. A. M.Pawan. Kumar Ben Packer Daphne . Koller. , Stanford University. 1. Aim: . C. ontents:. Phases of matter. Changing phase. Latent heat. Graphs of phase change. Whiteboard. Graph whiteboards. 4 Phases of Matter. TOC. Solid. Crystalline/non crystalline. Liquid. Greased marbles. Part II: Definition and Properties. Nevin. L. Zhang. Dept. of Computer Science & Engineering. The Hong Kong Univ. of Sci. & Tech.. http://www.cse.ust.hk/~lzhang. AAAI 2014 Tutorial. Part II: Concept . Heat a boiling tube of wax to a high temperature and as it cools note the . temperature every minute.. Plot a graph of temperature against time.. Results. Time . (min). 1. 2. 3. 4. 5. 6. 7. 8. 9. Temp. Analysis. . for Lexical Semantics . and . Knowledge Base Embedding. UIUC 2014 . Scott Wen-tau . Yih. Joint work with. Kai-Wei . Chang, Bishan Yang, . Chris Meek, Geoff Zweig, John Platt. Microsoft Research. A Practically Fast Solution for . an . NP-hard Problem. Xu. Sun (. 孫 栩. ). University of Tokyo. 2010.06.16. Latent dynamics workshop 2010. Outline. Introduction. Related Work & Motivations. Our proposals. Latent Variables (. LV) in Comparative Effectiveness (CE) research. . We . emphasize the visual modeling approach of statistical questions about CE of alternative . treatments (or interventions); we . These areas have extra notes to help you.. Make notes as we go along, always including these post-its. Notes. Objectives. Objectives. BRONZE. To define ‘latent heat’. SILVER. To be able to measure latent heat. Conditions : . Site Investigation and Dispute Avoidance. Risk of Latent conditions. In Jail or Get Out of Jail Free. Project Development. Type . of Information provided to contractors. Average . Claim . Nisheeth. Coin toss example. Say you toss a coin N times. You want to figure out its bias. Bayesian approach. Find the generative model. Each toss ~ Bern(. θ. ). θ. ~ Beta(. α. ,. β. ). Draw the generative model in plate notation.