PPT-Hidden

Information State System A Statistical Spoken Dialogue System M Ga š i ć F Ju rčíč ek S Keizer F Mairesse B Thomson K Yu and S Young Cambridge University Engineering Department mg436 . Killer. Developed and presented by the CWU. . Safety team . . Asbestos. CWU. . S. afety. Asbestos – the Hidden Killer. The Aims and Objectives.. Aims: to raise awareness of the possible presence of Asbestos within BT Buildings, Commercial and domestic premises.. Van Gael, et al. ICML 2008. Presented by Daniel Johnson. Introduction. Infinite Hidden Markov Model (. iHMM. ) is . n. onparametric approach to the HMM. New inference algorithm for . iHMM. Comparison with Gibbs sampling algorithm. Mgr. Pavel Reich. 1. Outline. Hidden bias as a form of doublespeak. Presidential Debates. Example of the use of hidden bias. Results of the analysis. 2. Doublespeak. Doublespeak - language that pretends to communicate but really doesn’t. It is language that makes the bad seem good, the negative appear positive, the unpleasant appear attractive or at least tolerable. Doublespeak is language that avoids or shifts responsibility, language that is at variance with its real or purported meaning. It is language which conceals or prevents thought; rather than extending thought, doublespeak limits it (Lutz 1990:1). Killer. Developed and presented by the CWU. . Safety team . . Asbestos. CWU. . S. afety. Asbestos – the Hidden Killer. The Aims and Objectives.. Aims: to raise awareness of the possible presence of Asbestos within BT Buildings, Commercial and domestic premises.. 1. Blank Slide (Hidden). 2. Homework Review. 3. 4. Project Leadership: Chapter 3. Becoming A Mover and Shaker: . Working . With Decision Makers . for . Change. 5. Blank Slide (Hidden). Purpose. To learn about:. Sarah Cannon Diane . Souvaine. Andrew Winslow. Art gallery problems. Art gallery problems. Art gallery problems. Art gallery problems. Art gallery problems. Art gallery problems. Art gallery problems. Mark Stamp. 1. HMM. Hidden Markov Models. What is a hidden Markov model (HMM)?. A machine learning technique. A discrete hill climb technique. Where are . HMMs. used?. Speech recognition. Malware detection, IDS, etc., etc.. (sometimes called “Multilayer . Perceptrons. ” or MLPs). Linear . s. eparability. Feature 1. Feature 2. Hyperplane. In . 2D: . A perceptron can separate data that is linearly separable.. A bit of history. in Smart Grids. Jue. . Tian. 1,2. . . Rui. Tan. 2. . Xiaohong. Guan. 1,3. Ting Liu. 1,4. 1. Xi’an . Jiaotong. University, P.R. . China . 2. Nanyang . Technological University, . Singapore. What is a Hidden Rule?. The Hidden Rules are rules that you are expected to know but that no one tells you about. .. Types of Hidden Rules. Assumed rules. Expectations for interactions with others. Using figurative . 2. Homework Review. 3. Project Leadership: . Chapter 5. 4. Telling Your Story: . Developing and Presenting Your Story to Others. Purpose. To learn about:. The importance of storytelling. Developing a good story. Hidden Markov Models Teaching Demo The University of Arizona Tatjana Scheffler tatjana.scheffler@uni-potsdam.de Warm-Up: Parts of Speech Part of Speech Tagging = Grouping words into morphosyntactic types like noun, verb, etc.: Hidden Markov Models IP notice: slides from Dan Jurafsky Outline Markov Chains Hidden Markov Models Three Algorithms for HMMs The Forward Algorithm The Viterbi Algorithm The Baum-Welch (EM Algorithm) Department of Parks Recreation and Cultural Affairs 50 Irish Lane East Islip New York 11730AMENITIESHidden Pond Park is a regional park with much to offer Residents can enjoy miles of scenic nature t