What is meant by uniform cost search algorithm?
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List the different algorithm techniques in machine learning?
What is local search algorithms?
When an algorithm is considered completed?
Consider the following algorithm, where the array A is indexed 1 through n: int add_them ( int n , int A[ ] ) { index i , j , k ; j = 0 ; for ( i = 1 ; i <= n ; i++) j = j + A[i] ; k = 1 ; for ( i = 1 ; i <= n ; i++) k = k + k ; return j + k ; } (a) If n = 5 and the array A contains 2, 5, 3, 7, and 8, what is returned? (b) What is the time complexity T(n) of the algorithm?
There are numbers from 1 to n, which are inverted such that it results in numbers from n to 1. If only two consecutive numbers are stampled at a time and are inverted, how many moves are required?
Tell us why is naïve bayes machine learning algorithm naïve?
Which algorithm in ‘unification and lifting’ takes two sentences and returns a unifier?
How are the k-nearest neigh-bors (knn) algorithms different from k-means clustering?
What is iterative deepening depth-first search algorithm?
Consider the following algorithm: for ( i = 2 ; i <= n ; i++) { for ( j = 0 ; j <= n) { cout << i << j ; j = j + floor(n/4) ; } } (a) What is the output when n = 4 (b) What is the time complexity T(n). You may assume that n is divisible 4.
Tell me how do you choose an algorithm for a classification problem?
Which algorithm is used for solving temporal probabilistic reasoning?
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