PPT-Matching

Lecture 19 Nov 23 This Lecture Graph matching is an important problem in graph theory It has many applications and is the basis of more advanced problems In this lecture we will cover two versions of graph matching problems. Individual Matching Controls are matched to cases on one or more attributes (i.e. age, gender, smoking status, etc). Each case/control pair then has identical values on the matching factors. Requi Joint work with Kevin Costello and Prasad . Tetali. China Theory Week. 2011. Pushkar. . Tripathi. Georgia Institute of Technology. Objective. : . Maximize the number of goods exchanged. Model. p. e. Based on. http://www.cs.engr.uky.edu/~. lewis/cs-heuristic/text/integer/linprog.html. The . bipartite graph matching problem.  is to find a set of unconnected edges which cover as many of the vertices as possible. If we select the set of edges. Reminder Strategies for Growing Matching Gift Revenues. For Donor Stewardship. For Increased Revenue. Matching Gifts Specialist, 8 years. Gifts in Kind Specialist 8 years. Gift Processor, 4 years. Training Manager, Guam Hilton International . 2010. National Extension and Research Administrative Officers’ Conference (NERAOC). Hosted by the University of Wisconsin Madison, Wisconsin. May 16 – 20, 2010. Session 45 . Matching for Formula Grants . Sam . Marden. s.h.marden@lse.ac.uk. Introduction. Describe the intuition behind . matching estimators. . Be concise. .. Suppose you have a sample of 100,000 prospective voters, with data on age, gender, party affiliation, county of residence, and whether or not an individual voted in the last elections. Ten thousand of these individuals were reached by telephone and heard a short message from a non-partisan agency regarding the importance of voting. The aim of the message was to improve voter turn out. Explain in no more than three sentences how one would use a matching estimator to estimate the effect of the calls. Note, you do not need to provide technical details (that comes next week), but a clear and intuitive explanation of how you would construct the matching estimator.. A Practical Demonstration Looking at Results from the Promise Pathways Initiative at Long Beach City College. Andrew Fuenmayor, Research Analyst. John Hetts, . Director of Institutional Research. Long Beach City College . Philip A. Bernstein Microsoft Corp.. Jayant . Madhavan. Google. Erhard Rahm Univ. of Leipzig. Copyright © 2011 Microsoft Corp.. The . problem of generating . correspondences between . Michael . Rogan. ISER- Rhodes University. 23 March, 2017. Policy:. . National Development Plan:. Increase of gross enrolments  from 950,000 in 2010 to . 1,6 million.  in 2030, a 70% increase. Acceleration Data . Pramod. . Vemulapalli. . Outline . 50 % Tutorial and 50 % Research Results . Basics . Literature Survey . Acceleration Data . Preliminary Results . Conclusions . What is A Time-Series Subsequence ?. Sahil. . Singla. . (Carnegie Mellon University). Joint work with . Euiwoong. Lee. 26. th. June, 2017. Two-Stage . matching problem . Graph Edges Appears in Two Batches/ Stages. . Appears in Stage 1. Olivier . Duchenne. , Francis Bach, . Inso. . Kweon. , Jean Ponce. École. . Normale. . Supérieure. , INRIA, KAIST. Team Willow. Extension of [. Leordeanu. &. Hebert]. to the case of . hypergraph.. Statement of the problem. Two sides of the market to be . matched.. Participants . on . both sides care about to whom they are matched.. M. oney can’t . be used to . determine . the assignment. .. Examples . Network to Compare Image Patches. Jure . Zbontar. , Yann . LeCun. Background. Motivation. Problem Formulation. Methodology. Training Data. Suggested Net Architectures. Sequential Steps. Results. Conclusion.