This figure shows the game tree where the Max as the first player tried to maximize the player's score and the leaves are the values returned based on the values it has been positioned. Max Min Max 33 24 18 26 25 28 22 47 23 19 33 15 18 22 36 26 (a) Fill in the values for Min-Max algorithm which is empty and show the best move for Max player as the first player. (b) As shown conduct the alpha-beta pruning on the game tree. Suppose, the tree is processed from left to right. Cross out the branches and shade the nodes that are not required to be explored. Min

This figure shows the game tree where the Max as the first player tried to maximize the player's score and the leaves are the values returned based on the values it has been positioned. Max Min Max 33 24 18 26 25 28 22 47 23 19 33 15 18 22 36 26 (a) Fill in the values for Min-Max algorithm which is empty and show the best move for Max player as the first player. (b) As shown conduct the alpha-beta pruning on the game tree. Suppose, the tree is processed from left to right. Cross out the branches and shade the nodes that are not required to be explored. Min

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Correct answer will be upvoted else Multiple Downvoted. Computer science. Alice and Bob are playing a game. They have a tree comprising of n vertices. At first, Bob has k chips, the I-th chip is situated in the vertex computer based intelligence (every one of these vertices are extraordinary). Prior to the game beginnings, Alice will put a chip into one of the vertices of the tree. The game comprises of turns. Each turn, the accompanying occasions occur (consecutively, precisely in the accompanying request): Alice either moves her chip to a neighboring vertex or doesn't move it; for each Bob's chip, he either moves it to a neighboring vertex or doesn't move it. Note that this decision is done freely for each chip. The game closures when Alice's chip has a similar vertex with one (or numerous) of Bob's chips. Note that Bob's chips might have a similar vertex, despite the fact that they are in various vertices toward the start of the game. Alice needs to augment the number…
True or false: For graphs with negative weights, one workaround to be able to use Dijkstra’s algorithm (instead of Bellman-Ford) would be to simply make all edge weights positive; for example, if the most negative weight in a graph is -8, then we can simply add +8 to all weights, compute the shortest path, then decrease all weights by -8 to return to the original graph. Select one: True False
Consider the following search tree for a 2-person game and assume that the first player is the maximizing player. The numbers underneath the leaf nodes are static evaluation results. A K Y 12 D XW VU 11 14 13 6 с H G TSR Q 9 15 10 7 B E PON ML 6 14 3 11 1 Assuming the nodes are being searched recursively from left to right using the Alpha-Beta algorithm, give all nodes that will be pruned by the algorithm. Provide relevant details on how the search will proceed to justify your answer.
We have established a family tree and each node in the family tree is a member. Now we want to find out how many family members are in the family. Please write down the algorithm.
49. In splay-tree access paths, zig-zig method is where three nodes of interest form a straight line True False Question 50 50. The running time of an algorithm as input size approaches infinity is called the asymptotic running tim True False
: |: Section 3 - Random Forests Decision Trees on their own are effectiev classifiers. The true power, though, comes from a forest of trees -- multiple decision trees working together as an ensemble learner. We create multiple trees, each using a subset of the available attributes, let them each make a guess at the correct classification, and then take the majority vote as the predicted class. Sounds tricky, right? Once again, sklearn to the rescue. We are going to see if a random forest can improve on our decision tree accuracy for the bank data. To begin, we are going to create a Random Forest using the wheat training and test data from the previous section. First, reload our data. 1 # reload the wheat dataset from UCI 2 3 df = pd. read_csv ("seeds_dataset.txt", sep='\\t', engine='python') 4 6 7 df.columns = ['a', 'p', 'compactness', 'length', 'width', 'coeff', 'length_g', 'type'] print (f'Our data has {df.shape [0]} rows and {df.shape [1]} columns') 8 #Mark 70% of the data for…
Correct answer will be upvoted else Multiple Downvoted. Don't submit random answer. Computer science. You are given a tree — associated undirected chart without cycles. One vertex of the tree is exceptional, and you need to track down which one. You can pose inquiries in the accompanying structure: given an edge of the tree, which endpoint is nearer to the uncommon vertex, which means which endpoint's most brief way to the extraordinary vertex contains less edges. You need to track down the uncommon vertex by posing the base number of inquiries in the most pessimistic scenario for a given tree. If it's not too much trouble, note that the exceptional vertex probably won't be fixed by the interactor ahead of time: it may change the vertex to some other one, with the prerequisite of being steady with the recently offered responses. Input You are given an integer n (2≤n≤100) — the number of vertices in a tree. The folloiwing n−1 lines contain two integers every, u and v…
A decision tree with better splits means that: a. all the branches have binary splits. b. the tree has higher accuracy in prediction. c. the branches are of equal depth. d. the tree has more branches.
Perform an experiment with alternately applying insertion and deletion of random elements in a randomly created binary search tree. Apply asymmetric and symmetric deletions. For both these variants of the deletion algorithm, alternate deletions strictly with insertions and alternate these operations randomly. This gives four different combinations. Also, use two different random number generators to ensure randomness. This leads to eight combinations. Run all of these combinations for these combinations for tress of heights 500,100,1500, and 2000. Plot the results. Use a java program only
Implement RBFS algorithm and draw the search tree for the following search space. (Assume start state S and goal state G) 150 42 B H 6 2 66 105 A G 10 7 10 E 30 36 100 1 63 1. 2.
Which of the statements are correct? (Select all that applies.) Group of answer choices A digraph is a graph whose edges are all directed. Digraphs can be applicable for detecting wash trade in financial market. Dijkstra's algorithm is based on the greedy method. Kruskal algorithm can be used to create a Minimum Spanning Tree. BFS runs in O(V+E) , where V is the number of vertices and E is the number of edges in the graph. DFS runs in O(V+E) as well.
The Tic-tac-toe game represents a 3×3 grid of two players X and Y. The winner finishes the game with 3 sequence X's (Player X) or O's (Player O). Use the Depth-first search to reach node G3 in the tree below and write the node visited in sequence time. Note: The answer is as a sequence of characters represents the state with comma separated. Example: A, GI, D, E, B, H, F, L, M, G2, G3, N o ox Player X o o x Player O Player X x X olox oxx oxx o 6x x x x x x O o ox o ox oxx oxx M Answer: