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Hill-Climbing algorithm terminates when, a) Stopping criterion met b) Global Min/Max is achieved c) No neighbor has higher value d) Local Min/Max is achieved
4236One of the main cons of hill-climbing search is, a) Terminates at local optimum b) Terminates at global optimum c) Does not find optimum solution d) Fail to find a solution
2167Stochastic hill climbing chooses at random from among the uphill moves; the probability of selection can vary with the steepness of the uphil1 move. a) True b) False
1972Hill climbing sometimes called ____________ because it grabs a good neighbor state without thinking ahead about where to go next. a) Needy local search b) Heuristic local search c) Greedy local search d) Optimal local search
1 3651Hill-Climbing approach stuck for the following reasons a) Local maxima b) Ridges c) Plateaux d) All of above
3936___________ algorithm keeps track of k states rather than just one. a) Hill-Climbing search b) Local Beam search c) Stochastic hill-climbing search d) Random restart hill-climbing search
3774_________________ are mathematical problems defined as a set of objects whose state must satisfy a number of constraints or limitations. a) Constraints Satisfaction Problems b) Uninformed Search Problems c) Local Search Problems d) Only a) and b)
2159Which of the Following problems can be modeled as CSP? a) 8-Puzzle problem b) 8-Queen problem c) Map coloring problem d) Sudoku
3288What among the following constitutes to the incremental formulation of CSP? a) Path cost b) Goal cost c) Successor function d) Objective function e) Initial state
2244The term ___________ is used for a depth-first search that chooses values for one variable at a time and returns when a variable has no legal values left to assign. a) Forward search b) Backtrack search c) Hill algorithm d) Reverse-Down-Hill search
1 3984To overcome the need to backtrack in constraint satisfaction problem can be eliminated by a) Forward Searching b) Constraint Propagation c) Backtrack after a forward search d) Omitting the constraints and focusing only on goals
2263To overcome the need to backtrack in constraint satisfaction problem can be eliminated by a) Forward Searching b) Constraint Propagation c) Backtrack after a forward search d) Omitting the constraints and focusing only on goals
1 2860The BACKTRACKING-SEARCH algorithm in Figure 5.3 has a very simple policy for what to do when a branch of the search fails: back up to the preceding variable and try a different value for it. This is called chronological-backtracking. It is also possible to go all the way to set of variable that caused failure. State whether True or False. a) True b) False
2004Consider a problem of preparing a schedule for a class of student. This problem is a type of a) Search Problem b) Backtrack Problem c) CSP d) Planning Problem
3771Constraint satisfaction problems on finite domains are typically solved using a form of ___________. a) Search Algorithms b) Heuristic Search Algorithms c) Greedy Search Algorithms d) DFS/BFS Search Algorithms
2360
How would you improve AI education programs?
What is logistic regression? Or state an example when you have used logistic regression recently?
What is the turing test for strong artificial intelligence?
What is a swish function?
Explain the role of AI in loan approval processes.
What were the last machine learning papers you read? Why do you think the was important?
What challenges arise in making AI systems user-friendly?
What are the ethical implications of deploying AI in various sectors?
How can you ensure that you are not overfitting with a particular model?
What is naive bayes in machine learning?
What is the Model testing in Machine Learning?
What is the action of task environment in artificial intelligence? a) Problem b) Solution c) Agent
Can you use machine learning for time series analysis?
What is fopl stands for and explain its role in artificial intelligence?
can anyone help me with some suggestions and improvemnts for sage line 50?
