PPT-Diversifying Query Results on Semi-Structured Data

Author : faustina-dinatale | Published Date : 2017-12-08

Md Mahbub Hasan University of California Riverside XML Document School UToronto PhDThesis First Name Author Last Name Michalis Faloutsos PhDThesis First Name Author

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Diversifying Query Results on Semi-Structured Data: Transcript


Md Mahbub Hasan University of California Riverside XML Document School UToronto PhDThesis First Name Author Last Name Michalis Faloutsos PhDThesis First Name Author Last Name Christos. Gu Xu. Microsoft Research Asia. Mismatching Problem. Mismatching is Fundamental Problem in Search. Examples:. NY ↔ New York, game cheats ↔ game . cheatcodes. Search Engine Challenges. Head or frequent queries. Making a business case. Every chorus has these business needs. Need for a ticket engine that includes, but is not overly dependent on, singers. Need to expand the ticket sales window well beyond the final week or two before a performance. . The Black Queen Hypothesis . (Morris et al. 2012):. All biological functions have a cost. If all things are equal, excluding a function causes a fitness advantage. Products of ‘leaky’ biological functions are unavoidably made available to the community, . Md. . Mahbub. . Hasan. University of California, Riverside. XML Document. School. UToronto. PhDThesis. First Name. Author. Last Name. Michalis. Faloutsos. PhDThesis. First Name. Author. Last Name. Christos. Avinash Mohak. Visual Object Tracking. Basic Problem: . Given a target object, we need to estimate its location over time. . Previous Works:. Tracking-by-Detection. Adaptive Tracking-by-Detection. Steve Branson . Oscar . Beijbom. . Serge . Belongie. CVPR 2013, Portland, Oregon. . UC San Diego. . UC San Diego. . Caltech. Overview. Structured prediction . Learning from larger datasets. Structured Training Program. The . DOTD . Structured Training Program . is a department-sanctioned, progressive training curriculum that requires specific work-related training be completed at each level of an employee’s career path. . Steve Branson . Oscar . Beijbom. . Serge . Belongie. CVPR 2013, Portland, Oregon. . UC San Diego. . UC San Diego. . Caltech. Overview. Structured prediction . Learning from larger datasets. Non-Volatile Main Memory. Qingda Hu*, . Jinglei Ren. , Anirudh Badam, and Thomas Moscibroda. Microsoft Research. *Tsinghua University. Non-volatile memory is coming…. Data storage. 2. Read: ~50ns. Loomis Union School District. PBIS Coaches Institute. January 20, 2015. Disclaimer: . This is a Discussion Session. What has worked . at one of our sites. ?. What are some of the benefits?. What are some of the challenges?. Qingda Hu*, . Jinglei Ren. , Anirudh Badam, and Thomas Moscibroda. Microsoft Research. *Tsinghua University. Non-volatile memory is coming…. Data storage. 2. Read: ~50ns. Write: ~10GB/s. Read: ~10µs. CUGE Professional Speaker SeriesStructured Approaches toEnvironmental Management 27 September 2016 INTRODUCTIONEnvironmental management, including vegetation restoration, is essentialto reverse habita approaches. John Larmouth. ITU-T and ISO/IEC ASN.1 Rapporteur. j.larmouth@btinternet.com. Terminology has changed over time. Markup. languages. Abstract. Syntax and Concrete Syntax. Abstract syntax notation and encodings. Lecture # . 12. 1. Today’s Lecture. Function oriented modeling discussion . We’ll discuss the Real-Time Structured Analysis and Structured Design Technique. We’ll apply Real-Time Structured Analysis technique to the Banking System case study today.

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