Draw a decision tree to represent the scenario above
Q: Is it possible to explain how dynamic programming uses the idea of optimality?
A: Dynamic programming is an algorithmic paradigm that divides a given complex problem into smaller…
Q: Consider the following equation that defines the conditions under which a square is breezy in the…
A: Wumpus WorldGiven wumpus world are follows the two types of rules.That describes the aspects of
Q: 1. Decision tree problem See the following table- Sender Occupation Blood pressure level Diabetes…
A: A decision tree is a flowchart-like structure in which each internal node represents a "test" on an…
Q: You are organizing a conference that has received n submitted papers. Your goal is to get people to…
A: A concept of game theory where the optimal outcome of a game is one where no player has an incentive…
Q: Draw a decision tree. Determine the expected value for each decision and event nodes. Which…
A: The ask is to find the ideal location to open a new branch based on the costs available for given…
Q: Create a decision tree from the data below where the final classes are a binary response to the…
A: Note: Answering the question in python as a programing language is mentioned. Task : Given the…
Q: 01/ Given the following description of a Perceptron: w1=6, w2=-3, b=-4 and the threshold function…
A: It is defined as the piece of a computing system designed to simulate the way the human brain…
Q: Consider the following Al problem, where S is the initial state and G is the goal state [6] S E [7]…
A: Below I have provided the handwritten solution of the given question:
Q: The diagram below represents a street map in a model city. The lines correspond to streets, and the…
A: Using Dynamic programming:…
Q: Observe the below Graph. RL RJ R2 a) Write "Yes Deadlock" or "No Deadlock" as your response. b)…
A: solution :a) No Deadlock b) given
Q: You are scheduling production of your popular Rustic Coffee Table. The table requires a top, four…
A:
Q: consider the two heuristic function h1, h3 , where the value of h as in the following table. • Which…
A: To Do: To choose the correct option.
Q: Consider three decision-making situations. P1 - P2 - P3, P1 is proven to be decidable, while P2 is…
A: Answer (C) Below is the explanation hope you understand.
Q: Max level Min level G H Max level K M N Q)(R S U V Min level 2 1 3 5 4 7 6 8 9 10 12 11 FIGURE 1 –…
A: Given: Artificial intelligence ================= Use alpha-beta pruning to evaluate the game trees…
Q: Bob has recently joined the Ninja Academy for higher education, while filling the admission form, he…
A: Given:
Q: Based on the below table, use information gain to build a decision tree that shows the atures…
A: The solution to the given question is:
Q: I # YOUR CODE HERE def train_DT(X,Y): clf = DecisionTreeclassifier(random_state = 0, max_depth = 2)…
A: subject_clf = train_DT(subject_train_X,category_train_Y)
Q: you have a good example to il
A: Solution - In the given question, we have to illustrate oops using good example.
Q: Is it possible to decrease the overhead imposed by NPT via the use of different approaches?
A: Introduction: Testing is required to discover any faults in software that may cause damage. We risk…
Q: Consider the following sequential game. There are two players, Player 1 and Player 2, who alternate…
A: Answer :-
Q: Suppose we have the following decision tree to classify the iris data. Now we have a new sample with…
A: The root checks petal width first Given petal width=1cm Petal width<=0.8 1<=0.8(False) --…
Q: 1-Mohammed has joined a project for building a new payroll system for an organization. He started…
A: According to policy we are only allowed to answer one question in one post. I'm answering the first…
Q: If the levels of a factor (B) are not the same across the levels of a second factor (A) then factor…
A: If the levels of a factor (B) are not the same across the levels of a second factor (A) then factor…
Q: 1. Use alpha-beta pruning to evaluate the game trees shown in Figure 1. Be sure to indicate all…
A: explain alpha or beta cut-off max and min value in game tree
Q: PART 2: Using following columns build a model to predict the ff person would survive or not, •…
A: The objective is to build a model to predict the ff person would survive or not. Here, dataset is…
Q: a discount policy: An insurance company has a policy of discounting its product to customers under…
A: step wise step statements in decision tree for the above context
Q: Give two examples of Decrease and Conquer Approach.
A: We need to write two examples of Decrease and Conquer Approach.
Q: Consider the hypothetical scenario below: Date Close Adj Close Purchase Date 1 59.36 8.53 Sale Date…
A: Find the answer with calculation given as below :
Q: 21.5. Future prices of a stock are modeled by a 3-period binomial tree, with each period being 4…
A:
Q: You are organizing a conference that has received n submitted papers. Your goal is to get people to…
A: A concept of game theory where the optimal outcome of a game is one where no player has an incentive…
Q: Assume the given node in Figure 1 as the root node at MAX node, draw the gat tree until the game…
A: Answer : To make this tic tac toe game we use Minimal algorithm that is successfully used across…
Q: Draw a decision tree given problem below. A businessman must decide whether to open a new mini…
A: Decision Tree: Decision tree is a decision support tool which is in tree like structure. It uses…
Q: You are organizing a conference that has received n submitted papers. Your goal is to get people to…
A: An individual can receive no incremental benefit from changing actions, under the assumption that…
Q: 3. I'm using frozen lake from gym library to create q learning and sarsa and i want to change the…
A: Python is widely used for web and software development, task automation, data analysis, and data…
Q: a. Given n items, where each item has a weight and a value, and a knapsack that can carry at most W…
A: def knapSack(W, wt, val, n): # Base Case if n == 0 or W…
Q: Question: You are asked to learn the concept of "Malaysian Economy Car" from the following data: CAR…
A: Candidate Elimination Algorithm The candidate elimination algorithm incrementally builds the version…
Q: Refer to the decision tree graph below. Business Appoint- mert? No Yes Decision = wear slacks Temp…
A: Answer: Last option/ D If the business appointment=No and Temp above 70=No Then decision=wear jeans
Q: Does this help to define "optimality" in the context of dynamic programming?
A: INDICATE: It clarifies the concept of optimality in dynamic programming. In order to solve issues,…
Q: The Claremont School course catalogue reads as follows: “To enrol in CIS 288, which is an advanced…
A: Claremont School Situation Decision table Decision table is a logical structure which reflects all…
Q: Given the observation table for student who pass/ do not pass the test according to their studying…
A: I attached your answer below.
Q: Homework 2 Problem 1. Games of Chance. Consider the following game tree, which has min (down…
A:
Q: Given is a Decision Tree Diagram. The Payoffs 1-14 are given in the table below. Answer questions a,…
A: Solution : As the data given in the question , Value at node 1 = 1/3 (sum of Payoffs 1,2 and 3) =…
Q: Colonel Blotto and Count Baloney are opposing commanders in a battle. There are three locations…
A:
Q: Java
A: Here we are using java code
Q: Describe a dynamic programming approach for a modified knapsack problem in which up to 3 copies of…
A: The dynamic programming approach is preferred over the general recursion approach. Let us first…
Q: 3. Consider the decision tree shown in Figure 2a, and the corresponding training and test sets shown…
A: The first two answers is given please submit the last two question separate we will answer that…
Q: Describe the optimality principle in the context of dynamic programming
A: Lets see the solution.
Q: Apply the bottom-up dynamic programming algorithm to the following instance of the knapsack problem:…
A: - The given table in which we have to apply the dynamic programming is listed below : Item Weight…
Q: mplement 0/1 Knapsack problem using dynamic programming and show the following output. . OUTPUT:…
A: Dynamic Programming is used for solving optimization problems. Dynamic programming demands dividing…
The management of Pearson Institute of Higher Education (PIHE) has decided to run a registration
promotion to give students some discount on their fees. The promotion is as follows:
• Complete Registration at least two weeks before resumption, 5% discount is given
• Up to 70% payment and black south African, 5% discount is given
• Complete payment onsite, 5% discount given
1.1 Draw a decision tree to represent the scenario above
1.2 Draw a decision table to represent your decision tree in question 1.1
1.3 Represent your decision table in a structure English
Step by step
Solved in 3 steps with 1 images
- Answer the given question with a proper explanation and step-by-step solution. You are asked to pick up a project on building highways to connect all cities in the country. The cost of building a highway between two cites i and j is c(i, j) > 0. If you were in charge from the beginning, this would have been a minimum spanning tree problem and could be solve easily with the algorithms covered in class. Since you pick it up halfway, however, some suboptimal choices have already been made by your predecessor. In other words, highways were already built between some pairs of cities. Design an algorithm to find a cost minimizing set of highways to built subject to the choices already made. Do not copy others.Assume we have three binary input attributes, A, B, C, and one binary outcome attribute Y. The three input attributes, A, B, C take values in the set {0,1} while the Y attribute takes values in the set {True, False} a. Which attribute (A, B, or C) has the highest information gain? b. Construct the full decision tree for this problem, without doing any pruning. If at any point you have a choice between splitting on two equally desirable attributes, choose the one that comes first alphabetically. If there is a tie on how to label a leaf, then choose True.(NEED ONLY HANDWRITTEN SOLUTIION)Create a decision tree from the data below where the final classes are a binary response to the class identifier "preferred". To decide on the splits for the tree, use Gini to determine the gain ratio, and take the split that offers the highest gain ratio.
- Suppose a business person launches new cinema at Islamabad and ask his team to develop a ticket system for box office. He assigns some requirements about system that how should it work. The requirements are such a way that there are only '5' number of box office windows in the theatre. Each window can have at max '20' number of people waiting in line. To start with, only one window is opened. If the number of people waiting in line in that window exceeds 20, then the next window is opened and people can join the line in that window. Likewise, if both the first and second windows have n number of people waiting in each queue, then a third window is opened. This can go on until the maximum number of windows w is reached. Let us assume that once a window is opened it never closes. A new window is only opened if all open windows are full. Each person can buy only one ticket. So, the system should not allot more than one ticket per person. Let us assume that the system issues one ticket…H1. Compute the value of an European Call option at time 0 for the following parameters: strike, K = 120, maturity 1 year, σ = 0.15, S0 = 120 and interest rate, r = 0.02: (a) by implementing, using Python, R, C++ or Matlab, a binomial model where n = 100, 1000, or 10000. For each value of n compute the error (difference between option value obtained using the B-S model and the one from the binomial model). Compute ∆0.The language must be in python. Neural Network Units weights of [-1.2, -1.1, 3.3, -2.1] two training examples:Example 1: [0.9, 10.0, 3.1, 1]Example 2: [0.9, 2.1, 3.7, 1] Note that you don't have to explicitly include a threshold or bias since the examples include a last element of 1 which means that the last weight effectively operates as a threshold. Create a single ReLU unit and provide the outputs for those examples. Calculate the derivative of the sigmoid with respect to net input for both examples Calculate the derivative of the ReLU with respect to net input for both examples
- After finding out you are secretly part of the royal family of Genovia, you inherit a 16th-century Genovian castle with an elaborate plumbing system that has accumulated pipes, junctions, and clogs over four centuries. Instead of a diagram, you are given a list of pipes and their capacities leading from the water source to your bathroom Pipes S,2 S,4 2,3 2,5 4,2 4,5 3,5 3,6 5,6 5,7 6,7 6,T 7,T Capacity 4 7 6 2 4 3 6 2 5 4 1 9 4 You'd like to know if it is safe to install a modern shower, or if this will eventually overflow the historic bathtub. Use the Ford Fulkerson algorithm to determine the max flow of this flow network/graph. Please draw your final residual graph and write the calculated max flow.After finding out you are secretly part of the royal family of Genovia, you inherit a 16th-century Genovian castle with an elaborate plumbing system that has accumulated pipes, junctions, and clogs over four centuries. Instead of a diagram, you are given a list of pipes and their capacities leading from the water source to your bathroom Pipes S,2 S,4 2,3 2,5 4,2 4,5 3,5 3,6 5,6 5,7 6,7 6,T 7,T Capacity 4 7 6 2 4 3 6 2 5 4 1 9 4 Draw the flow graph of your new castle and list: i. The shortest augmenting path (and it’s bottleneck) ii. The highest capacity augmenting path (and it’s bottleneck)Create a diagram (handwritten or digital) for the children of the configuration below in the game tree. Indicate which children are leaves and the outcome of the game. It is X's turn to play next.
- "Equatable and Comparable" in the Swift Programming: The Big Nerd Ranch Guide (2nd Ed.) e-book: Point’s current conformance to Comparable yields some confusing results. let c = Point(x: 3, y: 4) let d = Point(x: 2, y: 5) let cGreaterThanD = (c > d) // false let cLessThanD = (c < d) // false let cEqualToD = (c == d) // false As the above example demonstrates, the trouble arises in comparing two points when one point’s x and y properties are not both larger than the other point’s. In actuality, it is not reasonable to compare two points in this manner. Fix this problem by changing Point’s conformance to Comparable. Calculate each point’s Euclidean distance from the origin instead of comparing x and y values. This implementation should return true for a < b when a is closer to the origin than b. Use the formula shown in below Figure 25.1 to calculate a point’s Euclidean distance. Figure 25.1 Euclidean distance Euclidean distanceProlog Consider the (directed) network in the attached document. We could represent this network with the following Prolog statements: link(a,b). link(a,c). link(b,c). link(b,d). link(c,d). link(d,e). link(d,f). link(e,f). link(f,g). Now, given this network, we say that there is a "connection" from a node "X" to a node "Y" if we can get from "X" to "Y" via a series of links, for example, in this network, there is a connection from "a" to "d", and a connection from "c" to "f", etc. Formulate the appropriate Prolog rule "connection(X,Y)" which is true if (and only if) there is a "connection" from "X" to "Y" as described above --- note that this rule will be recursive. Test this rule out on the above network, to see if it is working correctly. Once it is working correctly, you will note that, e.g., the query "connection(a,e)." will give "true" multiple times. This means something, actually:A wave is modeled by the wave function: y (x, t) = A sin [ 2π/0.1 m (x - 12 m/s*t)] y1 (t) = A sin (2πf1t) y2 (t) = A sin (2πf2t) Using any computer program, construct the wave dependency graph resultant y (t) from time t in the case when the frequencies of the two sound waves are many next to each other if the values are given: A = 1 m, f1 = 1000 Hz and f2 = 1050 Hz. Comment on the results from the graph and determine the value of the time when the waves are with the same phase and assemble constructively and the time when they are with phase of opposite and interfere destructively. Doing the corresponding numerical simulations show what happens with the increase of the difference between the frequencies of the two waves and vice versa.