PPT-Today’s Topic

Discovering Parish Core Values Foundation for Living a Life in Christ Fr Jonathan Ivanoff Joseph Kormos Moderator Registrant Profile Thursday January 27 2011 Diocese of the Midwest Discovering . The speci c topic you select may arise from a number of different triggers If you are a nursing student your interest in a topic may result from a lecture or module on a medical condition that was covered in your undergraduate classes or a medical p TOPIC SENTENCE. A . topic sentence tells the reader what the paragraph is all about.. TOPIC AND MAIN POINT. Every good topic sentence has two parts:. 1. Topic . 2. Main . Point. TOPIC. A topic is WHO the paragraph or story is about.. Authors: Rosen-. Zvi. , Griffiths, . Steyvers. , Smyth . Venue: the 20th Conference on Uncertainty in Artificial Intelligence. Year: 2004. Presenter: Peter Wu. Date: Apr 7, 2015. Title: The Author-Topic Model for Authors and Documents. Language Model Adaptation. Ekapol. . Chuangsuwanich. 1. , . Shinji . Watanabe. 2. ,. Takaaki. Hori. 2. , . Tomoharu. . Iwata. 2. , . James . Glass. 1. 報告者：郝柏翰. 2013/03/05. ICASSP 2012. Siddharth Gupta. 1. , Casey Hanson. 2. , Carl A Gunter. 3. , Mario Frank. 4. , David Liebovitz. 4. , Bradley . Malin. 6. 1,2,3,4. Department of Computer Science, . 3,5. Department of Medicine, . 6. Department of Biomedical Informatics. Mini-Lesson. What is the . thesis statement. ?. What is the formula?. Thesis Statement Examples. Topic 1: Bradbury uses imagery to reveal a society that uses government censorship as a way to control its people, and warns that this could be any society’s fate if people refuse to speak up.. 0. Pre-industrial economies in transition. Topics:. Advanced Organic Economies . A characterisation of pre-industrial economies . Demographic forces and economic development. Causes and effects of population change in pre-industrial economies. Chenghua. Lin . & . Yulan. He. CIKM09. Main Idea. This . paper . proposes . a novel probabilistic modeling framework based on . Latent . Dirichlet. Allocation (LDA), called joint sentiment/. Source: “Topic models”, David . Blei. , MLSS ‘09. Topic modeling - Motivation. Discover topics from a corpus . Model connections between topics . Model the evolution of topics over time . Image annotation. part 1. Andrea Tagarelli. Univ. of Calabria, Italy. Statistical topic modeling. . (1/3). Key assumption: . text . data represented as a mixture . of . topics. , i.e., probability distributions . over . Padhraic Smyth. Department of Computer Science. University of California, Irvine . . Progress Report. New deadline. In class, Thursday February 18. th. (not Tuesday). Outline. 3 to 5 pages maximum. in an HDP-Based Rating Regression Model for Online Reviews. Zheng Chen. 1. , Yong Zhang. 1,. 2. , Yue Shang. 1. , Xiaohua Hu. 1. 1. Drexel University, USA. 2. China Central Normal University, China. Today Matters Stop Learning Today and You’ll Stop Leading Tomorrow by EQUIP Ministries founded by John Maxwell 1 1 Lesson: T311.02 iteenchallenge.org 01 - 2012 Today Matters Main Title Here. Topic 1. Topic 1 title goes here. Your text here. Your text here. Your text here. Your text here. Your text here. Your text here. Your text . here. Your text here. Your text here. Your text here.