PPT-Choice, Voice & Cultural Relevance

Mrs Colleen Noetzli amp Ms Stephanie Smith with Aidan B Tico C Waisu L and Jamell W How much reading would you expect of this group in five weeks Review the student information provided and dont hesitate to discuss with your neighbors. The advantages are many but because of the technology employed in these new networks service providers face new Quality of Service challenges Packetized voice transmission adds nonlinear compression and the need for timely packet delivery from netwo Paul N. Bennett, Microsoft Research. Joint with. Ece Kamar, Microsoft Research. Gabriella Kazai, Microsoft Research Cambridge. Motivation for Consensus Task. Recover actual . relevance of . a topic-document . 1. Female . Choice. . 2. Whale . Song. . . 3. Tool . F. abrication by Crows. 1. Social Learning: Required for Culture. Female Choice: interaction of cultural evolution. . and biological evolution. By . Rong. Yan, Alexander G. and . Rong. Jin. Mwangi. S. . Kariuki. 2008-11629. Quiz. What’s Negative Pseudo-Relevance feedback in multimedia retrieval?. Introduction. As a result of high demand of content based access to video information.. Clickthroughs. for News Search. Hongning. Wang. +. , . Anlei. Dong. *. , . Lihong. Li. *. , Yi Chang. *. , . Evgeniy. . Gabrilovich. *. +. CS@UIUC . *. Yahoo! Labs. Relevance . v.s. . Freshness. vs.. Weak Induction. Homework. Study Fallacies 1-18. Review pp. 103-132. Fallacies (definition § 4.1). § 4.2 Fallacies of Relevance (1 – 8). § 4.3 Fallacies of Weak Induction (9 – 14). For Next Class: pp. 139-152. Hang Xiao. Background. Feature. a . feature. is an individual . measurable heuristic property of a phenomenon being observed. In character recognition: . horizontal and vertical . profiles, . number of internal holes, stroke . What is culture?. Culture. - all of the shared products of human groups - - . products people create. Material culture. – physical objects that people create (cars, clothes, books, buildings). Nonmaterial culture . sparsity. in web search click data. Qi . Guo. , Dmitry . Lagun. , . Denis Savenkov. , . Qiaoling. Liu. [qguo3. ,dlagun,denis.savenkov,. qiaoling.liu. ]. @. emory.edu. Mathematics . & . Computer . J. Max Wawrik. Nancy Rosado Colon. Law 16. Spring 2017. Law of Evidence. . . Key Terms. Adversary System (U.S.). A system of justice where the parties work in opposition to each . other, and each party tries to win a favorable result for itself. The . : . Pedagogical Strategies for Eliciting a Sense of Moral . Responsibility. William J. Frey. Professor of Business Ethics. College of Business Administration. University of Puerto Rico at Mayaguez. Agenda. for Pseudo–Relevance Feedback . Yuanhua . Lv. . & . ChengXiang. . Zhai. Department of Computer Science, UIUC. Presented by Bo Man . 2014/11/18. Positional Relevance Model . for Pseudo–Relevance Feedback . Nasals, approximants, vowels. Voice. Sonorants are normally voiced. Nasals, approximants, vowels. Sometimes they are voiceless. We say the most common state of affairs is ‘unmarked’. Voiced sonorants are unmarked. Tom Burton-West. Information Retrieval Programmer. Digital Library Production Service. University of Michigan Library. www.hathitrust.org/blogs/large-scale-search. Code4lib . February 12, 2013. w. www.hathitrust.org.