PPT-An unbiased adaptive sampling algorithm for the exploration

Jérôme Waldispühl PhD School of Computer Science McGill Centre for Bioinformatics McGill University Canada Yann Ponty PhD Laboratoire dinformatique LIX École Polytechnique. An ideal unbiased coin might not correctly model a real coin which could be biased slightly one way or another After all real life is rarely fair This possibility leads us to an interesting mathematical and computational question Is there some way w by. . B.K.Sujatha. M.S. Ramaiah Institute of Technology, Bangalore. Guide: . . Co-Guide:. Prof. Dr. P.S. . Satyanarayana. . Prof.Dr. . . K. N. . Haribhat. The Head, Dept of Electronics &. Anup. Bhattacharya. IIT Delhi. . Joint work with Davis . Issac. (MPI), . Ragesh. . Jaiswal. (IITD) and Amit Kumar (IITD). Introduction: Sampling. Select a subset of data. Computations on “representative” subset would approximate computations on whole data. Santosh . Vempala. , Georgia Tech. A really old . p. roblem. Given set K in n-dimensional space, estimate its volume. . E.g., . Pyramids, wine barrels, … . Polytopes . Intersection of a polytope with ellipsoid(s) . Ch. 20 Efficiency and Mean Squared Error. CIS 2033: Computational Probability and Statistics. Prof. Longin Jan Latecki.  . Prepared in part by: Nouf Albarakati. An Estimate. An estimate is a value that only depends on the dataset x. . 6. Point Estimation. Example: Point Estimation. Suppose that we want to find the proportion, p, of bolts that are substandard in a large manufacturing plant. To test the bolt, you destroy the bolt so you do not want to check all of the bolts to see if they fail.. t-shirts of each size to order?. In this lesson you will learn how to identify representative samples. . by differentiating between biased and unbiased methods of sampling.. The population is the entire group. Kijung Shin. Triangles in a Graph. Graphs. are everywhere!. Social Network, Web, Emails, etc.. Triangles . are a fundamental primitive. 3 nodes connected to each other. Counting triangles . has many applications. A new sampling method. Motivating example. Want to study the average amount of water used per person per month. How would you design a survey?. 2. A new sampling method. Consider the two strategies. Sample person by person. 7. Introduction. In . a typical statistical inference problem, you want to discover one or more characteristics of a given population. .. However, it is generally difficult or even impossible to contact each member of the population.. LEQ:. What were the motives behind European exploration?. Drill: . “gold, glory, and God” is a phrase used to describe the motives for European exploration during the 15. th. and 17. th. centuries. What does this phrase mean?. . SYFTET. Göteborgs universitet ska skapa en modern, lättanvänd och . effektiv webbmiljö med fokus på användarnas förväntningar.. 1. ETT UNIVERSITET – EN GEMENSAM WEBB. Innehåll som är intressant för de prioriterade målgrupperna samlas på ett ställe till exempel:. Marc Moonen . Dept. E.E./ESAT-STADIUS, KU Leuven. marc.moonen@esat.kuleuven.be. www.esat.kuleuven.be. /. stadius. /. Part-III : Optimal & Adaptive Filters. . Wieners Filters & the LMS Algorithm. . Brett Shapiro. 25 . February . 2011. 1. G1100161. Control Loops Keep LIGO Running. Evolving seismic noise from:. weather. people. … adaptive control also makes a very good thesis topic…. 2. How are Adaptive Loops Useful?.