[game-tree] In the game tree show below, the first level is a MAX level, the second is a MINlevel, the third is a MAX level and the fourth is a MIN level. Each leaf-node shows its value forMiniMax search, and each node is labeled (from left to right) as L1, L2, Apply alpha-betasearch to the tree. Some leaves need not be evaluated (to be pruned).After processing all the nodes below, what would be the alpha value or beta value of the node(that is, the parent of L1 to L4) shown below for alpha and beta values?**α=B=-00 MAX+00 MIN10 11 9 12 14 15 13 14 5 2 4 1 3 22 20 21L1 L2 L3 L4 L5 L6 L7 L8 L9 L10 L11 L12 L13. L14. L15 L16 O Beta is 10O Beta is 11O Beta is positive infinityO Beta is negative infinityO Beta is positiveO Beta is negative

In the alpha-beta search algorithm for a min-max tree, at every max node, the value of alpha is…

Answered: [game-tree] In the game tree show…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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The figure to the right shows the results of a survey in which 1012 adults from Country A, 1009 adults from Country B, 1016 adults from Country C, 1010 adults from Country D, and 1005 adults from Country E were asked whether national identity is strongly tied to birthplace. A table labeled "National Identity and Birthplace, People from different countries who believe national identity is strongly tied to birthplace" consists of five rows containing the following information from top to bottom, with row listed first and information listed second: Country A, 31 percent; Country B, 20 percent; Country C, 25 percent; Country D, 53 percent; Country E, 12 percent.Country A31%20%25%53%Country BCountry CCountry DCountry E12% Construct a 99% confidence interval for the population proportion of adults who say national identity is strongly tied to birthplace for each country listed.
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outline the step-by-step, the Johansen's methodology for testing cointegration between a set of variables in the context of a VAR.
On an assembly line, there are 3 "checkpoints" at which a widget is inspected for defects. Upon review of prior data, the following is noted: The test for product integrity finds a problem 26% of the time The test for product specifications finds a problem 19% of the time The test for packaging consistency finds a problem 38% of the time (It's not a particularly good assembly line!) Assume for purposes of this problem, that all of the tests / checkpoint problems are independent of each other. What is the probability that an error will be found by all of the tests? What is the probability that an error will be found by any one of the tests? That is, a problem on the first, or second, or third test? What is the probability that a problem will be found for the "packaging consistency" only? What is the probability of finding an error of at least one of the tests? Hint: You can use your complement rule here.
In a recent study, 20 males used a new weight-loss supplement, and all but 5 of them experienced weight loss after two weeks. In the same study, 100 females used the same supplement, and all but 21 of them experienced weight loss after two weeks. The new weight-loss supplement was more effective on ▼males in the study. That is because only _% of them failed to lose weight after two weeks, whereas _% of the ▼females failed to lose weight after two weeks.
A machine learning engineer is testing the speed at which his new computer graphics card can train a deep learning algorithm on a dataset. The engineer tested the speed of the graphics card on a dataset using the 10-fold cross-validation technique, which is testing 10 times the process.training-testing with the same dataset splitting size. From the 10 times of the training-testing process, the following training time data were obtained (in hours): 11,2 ; 10,1 ; 12,4 ; 11,0 ; 10,8 ; 12,2 ; 11,6 ; 12,4 ; 12,5 ; 10,6 a. Calculate the 99% two-sided confidence interval (99% two-sided confidence interval) for the graphics card's average training time.b. Calculate the upper 90% confidence interval (upper confidence interval of 90%) for the average training time of the graphics card.c. Calculate the 97.5% lower confidence interval (97.5% lower confidence interval) for the graphics card's average training time.d. Calculate the Margin of Error (MOE) of the graphics card's average training time…
The following graph shows a directed chain that represents a system restart scenario when a series of events occur. The scenario is represented using 5 random variables: S, D, W, P, and R. Use variable elimination algorithm to calculate the probability of system restart P(R) by eliminating S,D, and W. Show your steps.
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This graph shows data from people from the sub-Saharan area of Africa who have contracted HIV. Outcomes for the patients were recorded as one of 4 mutually possibilities: alive and still in care at the original clinic, alive and still in care after transferring to a new clinic, alive but no longer visiting a clinic, or they’re dead. Keep in mind that this data were collected are from clinical records. Assume that the sample is a random representation of sub-Saharan Africans with HIV. Antiretroviral therapy is used to treat patients. What is the experimental unit? What are the variables (including the types)?
Let's assume that the COVID-19 new case report data were collected from S.A Ministry of Health 30th of December 2019 was the first date that COVID-19 was confirmed in S.A. The time period of data was from the 20th of January to the 27th of January 2020 (for the last 7 days). The data included the total number of new cases, date of recorded, number of new total COVID-19 cases. In this study, a medical researcher used Pearson's cortelation analysis and the linear regression model to predict COVID-19 new cases based on the available data. (e.g., that Cases of infection rises linearly with number of people tested). The best-known types of regression analysis are the following: Date Day Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Test No. Case Counts 2020/01/20 2020/01/21 2020/01/22 2020/01/23 2020/01/24 2020/01/25 2020/01/26 2020/01/27 6. 33 41 17 1 18 3. 13 44 Calculate the coefficient of correlation using the Karl Pearson method. O A. 1 OB. 0.1356 OC. 0.9239 OD.…
In a regression problem with 2 input variables, we construct a classification tree with 4 terminal nodes. This means（multiple choices) There was either four splits in only one of the input variables or one split in each of the input variable. There was a split in one of the input variables and no splits in the other. There was a split in each input variable. There was either a split in each input variable or three splits in only one of the input variables. There were 2 splits in each of the input variables.
(2) Use backtracking (showing the tree) to solve the Queen problem on this weird chessboard (where obviously no Queen should stand on a square with a bomb!)

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