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Quiz 2

Total questions: 10

Worksheet time: 11mins

Name
Class
Date
1.

Which of the following is untrue regarding the gap penalty used in dynamic programming?

a)

Gap penalty is subtracted for each gap that has been introduced

b)

Gap penalty is added for each gap that has been introduced

c)

The gap score defines a penalty given to alignment when we have insertion or deletion

d)

Gap open and gap extension has been introduced when there are continuous gaps (five or more)

2.

Which of the following does not describe dynamic programming?

a)

The approach compares every pair of characters in the two sequences and generates an alignment, which is the best or optimal

b)

Global alignment algorithm is based on this method

c)

A local alignment aligns a substring of the query sequence to a substring of the target sequence

d)

The method can be useful in aligning protein sequences to protein sequences only

3.

Which of the following does not describe global alignment algorithm?

a)

In initialization step, the first row and first column are subject to gap penalty

b)

Score can be negative

c)

In trace back step, beginning is with the cell at the lower right of the matrix and it ends at top left cell

d)

First row and first column are set to zero

4.

Which of the following is not true about Markov Chains

a)

a system (Q,A) consisting of a finite set of states and a transition

b)

state xi , and at the tick of a clock the chain changes to state xi+1

c)

Markov chain cannot be recursive

d)

is used for solving temporal probabilistic reasoning that was independent of transition and sensor model

5.

Knowing the above transition matrix, "AATC" is a positive model or a negative model?

a)

Positive

b)

Negative

c)

Undefined

d)

Non of above

6.

Viterbi Algorithm is used for:

a)

Decoding – finding the most likely path

b)

Evaluation – computing observation likelihood

c)

Training – estimating parameters

d)

Non of above

7.

In Neural Networks, the fundamental unit of network is

a)

Synapse

b)

nucleus

c)

neuron

d)

axon

8.

What is perceptron?

a)

a single layer feed-forward neural network with pre-processing

b)

an auto-associative neural network

c)

a double layer auto-associative neural network

d)

a neural network that contains feedback

9.

Where does the chemical reactions take place in neuron?

a)

dendrites

b)

axon

c)

synapses

d)

nucleus

10.

Which of the following does not present differentiation of one ANN network from another?

a)

architecture

b)

back-propagation algorithm

c)

size of the input vector

d)

mathematical functions