PPT-Beyond the Hidden American State

Classification Struggles and the Politics of Recognition Damon Mayrl Universidad Carlos III de Madrid Sarah Quinn University of Washington Many Hands of the State Conference Chicago Illinois. V. iew . F. ramework for . Artifact. -Centric Business Processes. Sira. . Yongchareon. Chengfei. Liu. 2010. 1. Process Modelling. Process centric modelling. *. Artifact. . C. entric Process (ACP) modelling. (1). Brief . review of discrete time finite Markov . Chain. Hidden Markov . Model. Examples of HMM in Bioinformatics. Estimations. Basic Local Alignment Search Tool (BLAST). The strategy. Important parameters. 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). First – a . Markov Model. State. . : . sunny cloudy rainy sunny ? . A Markov Model . is a chain-structured process . where . future . states . depend . only . on . the present . state, . 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:. 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.. Spoken Language Processing. Andrew Maas. Stanford University . Spring 2017. Lecture 3: ASR: HMMs, Forward, Viterbi. Original slides by Dan . Jurafsky. Fun informative read on phonetics. The Art of Language Invention. David J. Peterson. 2015.. 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:. . Your elected officials. James Pustejovsky. February . 27. , . 2018. Brandeis University. Slides . thanks to David . Blei. Set of states: . Process moves from one state to another generating a sequence of states : . Human and Machine Learning. Mike . Mozer. Department of Computer Science and. Institute of Cognitive Science. University of Colorado at Boulder. Hidden Markov Models. Room Wandering. I’m going to wander around my house and tell you objects I see. . 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) Jurafsky. Outline. Markov Chains. Hidden Markov Models. Three Algorithms for HMMs. The Forward Algorithm. The . Viterbi. Algorithm. The Baum-Welch (EM Algorithm). Applications:. The Ice Cream Task. Part of Speech Tagging. BMI/CS 776 . www.biostat.wisc.edu/bmi776/. Spring . 2018. Anthony Gitter. gitter@biostat.wisc.edu. These slides, excluding third-party material, are licensed under . CC BY-NC 4.0. by Mark Craven, Colin Dewey, and Anthony Gitter.