Presence of false minima will have what effect on probability of error in recall?

How can false minima be reduced in case of error in recall in feedback neural networks?

A

by providing additional units

B

by using probabilistic update

C

can be either probabilistic update or using additional units

D

none of the mentioned

Can error in recall due to false minima be reduced?

A

yes

B

no

How can error in recall due to false minima be reduced?

A

deterministic update for states

B

stochastic update for states

C

not possible

D

none of the mentioned

What is the other way to reduce error in recall due to false minima apart from stochastic update?

A

no other method exist

B

by storing desired patterns at lowest energy minima

C

by storing desired patterns at energy maxima

D

none of the mentioned

How can error in recall due to false minima be further reduced?

A

using suitable activation dynamics

B

cannot be further reduced

C

by storing desired patterns at energy maxima

D

none of the mentioned

Arrange the following steps in sequence in order to calculate the probability of an event through Naïve Bayes classifier. I. Find the likelihood probability with each attribute for each class. II. Calculate the prior probability for given class labels. III. Put these values in Bayes formula and calculate posterior probability. IV. See which class has a higher probability, given the input belongs to the higher probability class.

A

I → II → III → IV

B

II → I → III → IV

C

III → II → I → IV

D

II → III → I → IV

A probability distribution with right skew is shown in the figure.
Probability and Statistics mcq question image

The correct statement for the probability distribution is

A

Mean is equal to mode

B

Mean is greater than median but less than mode

C

Mean is greater than median and mode

D

Mode is greater than median

The following are the two statements relating to the theory of probability. Indicate the statements being correct or incorrect.
Statement I The probability of the joint occurrence of independent events A and B is equal to the probability of event A multiplied by the probability of event B or vice-versa.
Statement II The probability of the joint occurrence of independent event A and dependent event B is equal to the probability of event A multiplied by the conditionalprobability of event B when event A has occurredor vice-versa.

A

Both statements are correct

B

Both statements are incorrect

C

Statement I is correct while Statement II is incorrect

D

Statement I is incorrect while Statement II is correct

Why there is error in recall, when number of energy minima is more the required number of patterns to be stored?

A

due to noise

B

due to additional false maxima

C

due to additional false minima

D

none of the mentioned

According to Naiya̅yikas we ascertain the relation of universal concomitance between x and y : (A) We can determine the relation only if we can determine the relation of essential identity between x and y (B) By perceiving that in all cases the presence of x is accompanied by the presence of y (C) We can determine the relation only if we can determine the relation of cause and effect between x and y (D) By not perceiving any instance where the presence of x is not accompanied by the presence of y or vice-versa. Choose the correct answer from the options given below :

A

(A) and (C) only

B

(D) and (C) only

C

(B) and (D) only

D

(A), (B) and (C) only

Presence of false minima will have what effect on probability of error in recall?

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