G&N Units 5,6
Quiz
•
Computers
•
University
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Practice Problem
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Medium
Josep Llados
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Does this graph have an Eulerian path?
Yes, because there are two nodes with odd degree
Yes, because any connected graph has an Eulerian path
No, because all the nodes shoud have a degree of 3 or more
We can not know without calculating the eigenvector centrality
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the meaning of the power n of an adjacency matrix?
it gives the densities of the subgraphs with diameter n
it gives the eigenvector centralities of the edges
it gives the number of different paths of length n between two nodes
it gives the number of incident paths of nodes of degree n
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Shortest path to node 5, starting at node 0, using the Dijstra Algorithm?
0-1-2-5
0-3-4-1-2-5
0-1-4-5
0-3-4-5
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the probability that a random walker reaches the node 8 at time t?
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the difference between the Dijkstra and the A* algorithms?
Dijkstra is a shortest path algorithm, whereas A* is a graph traversal algorithm.
Dijkstra is a DFS based algorithm, and A* is a BFS based algorithm.
Both compute shortest paths, but Dijkstra considers the minimum cost up to the current node, whereas A* adds an heuristic to estimate a lower bound o the future cost.
There are no differences, it is the same algorithm that has different names in Europe and America.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In tf-idf what is the meaning of idf (inverse document frequency)?
It counts the frequency of the terms in each document.
It down-weights the terms that occur frequently, and increases the weight of ones that occur rarely.
It increases the weight of terms that occur frequently, and down-weights ones that occur rarely.
It merges the terms with the same root, conidering them as synonims in the dictionary.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Given two BoW vectors, which distance/similarity is most convenient?
Cosine
Euclidean
Substraction
Levenshtein
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