conjunctions (AND) (Page No 168)

• Tractable
• Intractable
Page (165)

H (Page 172)

OR (Page 176)

Deductive (Page 162)

Three (Page 160)

The Entropy is 1 when the collection contains number of positive examples _______ to/than negative examples.

Select correct option:

Equal

Greater

Less

None of the given

Question # 2 of 10 ( Start time: 08:35:22 PM ) Total Marks: 1

Measure of the effectiveness of an attribute in classifying the training data is called.

Select correct option:

Information Gain

Measure Gain

Information Goal

None of the given

Question # 3 of 10 ( Start time: 08:36:15 PM ) Total Marks: 1

A drawback of FIND-S is that, it assumes the consistency within the training set.

Select correct option:

True

False

Question # 4 of 10 ( Start time: 08:37:03 PM ) Total Marks: 1

The brain is a collection of about 100 ________ interconnected neurons.

Select correct option:

Million

Billion

Trillion

None of the given

Question # 5 of 10 ( Start time: 08:37:52 PM ) Total Marks: 1

Hypothesis space uses the ________________ of the attributes.

Select correct option:

Conjunctions (AND)

Disjunctions (OR)

Negation (NOR)

None of the given

Question # 6 of 10 ( Start time: 08:38:44 PM ) Total Marks: 1

Aggregation only occurs once for each output variable, just after the fifth and final step, defuzzification.

Select correct option:

True

False

Question # 7 of 10 ( Start time: 08:39:48 PM ) Total Marks: 1

A concept is the representation of the __________ with respect to the given attributes.

Select correct option:

Solution

Problem

Knowledge

None of the given

Question # 8 of 10 ( Start time: 08:40:32 PM ) Total Marks: 1

__________ is the process by which the fuzzy sets that represent the outputs of each rule are combined into a single fuzzy set.

Select correct option:

Aggregation

Fuzzification

Implication

None of the given

Question # 9 of 10 ( Start time: 08:41:22 PM ) Total Marks: 1

The first step of FIND-S is to initialize h to the most specific hypothesis in __________: h = < Ø , Ø >

Select correct option:

H

I

J

K

Question # 10 of 10 ( Start time: 08:42:19 PM ) Total Marks: 1

A single Perceptron simply draws a line, which is a hyper plane when the data is _____ than 2 dimensional.

Select correct option:

More

Less

Equal

None of the given

Quiz-2

Question # 1 of 10 ( Start time: 08:44:17 PM ) Total Marks: 1

Complex problems usually have well-defined steps

Select correct option:

True

False

Question # 2 of 10 ( Start time: 08:45:47 PM ) Total Marks: 1

__________ is the process by which the fuzzy sets that represent the outputs of each rule are combined into a single fuzzy set.

Select correct option:

Aggregation

Fuzzification

Implication

None of the given

Question # 3 of 10 ( Start time: 08:46:05 PM ) Total Marks: 1

The first step of FIND-S is to initialize h to the most specific hypothesis in __________: h = < Ø , Ø >

Select correct option:

H

I

J

K

Question # 4 of 10 ( Start time: 08:46:19 PM ) Total Marks: 1

Choose the fields in which Fuzzy inference systems have been successfully applied:

Select correct option:

automatic control

data classification

decision analysis

All of the given

Question # 5 of 10 ( Start time: 08:47:13 PM ) Total Marks: 1

A concept is the representation of the __________ with respect to the given attributes.

Select correct option:

Solution

Problem

Knowledge

None of the given

Question # 6 of 10 ( Start time: 08:47:30 PM ) Total Marks: 1

_________ is the process of formulating the mapping from a given input to an output using Fuzzy logic.

Select correct option:

FIZ

FIS

FOS

None of the given

Question # 7 of 10 ( Start time: 08:48:11 PM ) Total Marks: 1

The input of the aggregation process is the list of truncated output functions returned by the _________ process for each rule.

Select correct option:

Truncation

Implication

Aggregation

None of the given

Question # 8 of 10 ( Start time: 08:49:09 PM ) Total Marks: 1

In Fuzzy Inputs we resolve all fuzzy statements in the antecedent to a degree of membership between 0 and _____

Select correct option:

1

2

3

4

Question # 9 of 10 ( Start time: 08:49:37 PM ) Total Marks: 1

Fuzzy inference systems (FIS) are NOT associated with a number of names.

Select correct option:

True

False

Question # 10 of 10 ( Start time: 08:50:16 PM ) Total Marks: 1

Inductive learning takes examples and generalizes rather than starting with __________ knowledge.

Select correct option:

Existing

Inductive

Deductive

None of the given

Quiz-3

1-Artificial Neural Networks is a new learning paradigm which takes its roots from _________ inspired approach to learning.

Biology

2- In Candidate-Elimination algorithm version space is represented by two sets named:

G and S

3-Interactive Dichotomizer uses a special function ________, to evaluate the gain information of each attribute.

GAIN

4- The Entropy is 1 when the collection contains number of positive examples _______ to/than negative examples.

Equal

5-The first step of FIND-S is to initialize h to the most specific hypothesis in __________: h = < Ø , Ø >

H

6- Entropy characterizes the purity/impurity of an arbitrary collection of examples.

True

7- ________ stands for interactive dichotomizer.

ID

8- If the true output of a concept [c(xi)] is 1 or 0 for an instance, then the output by our hypothesis [h(xi)] is 1 or 0 as well, respectively.

True

9-Aggregation only occurs once for each output variable, just after the fifth and final step, defuzzification.

False

10- __________ is the process by which the fuzzy sets that represent the outputs of each rule are combined into a single fuzzy set.

Aggregation

Quiz-4

1- Fuzzy inference systems are not associated with number of names:

a. True
b. False

2- A single layer perceptron can not perform pattern classification on linearly separable patterns

a. True
b. False

3- Hypothesis space uses the ___________________of the attributes

Conjunction(AND)
Disjunction(OR)
Negation(NOR)
None of given

4- Machine learning is prerequisite for any mature program of artificial intelligence

a. True
b. False

5- ____is process of formulation the mapping from given input to output using fuzzy logic

FIZ
FIS
FOS
None of given

6- Many machine learning systems are classifiers

True
False

7- The brain is collection of about 100 ____ interconnected neurons

Million
Billion
Trillion
None of given

Quiz -5

Question # 2 of 10 ( Start time: 05:56:51 PM ) Total Marks: 1

In Fuzzy Inputs we resolve all fuzzy statements in the antecedent to a degree of membership between 0 and _____

Select correct option:

a. 1
b. 2
c. 0
d. None

Question # 3 of 10 ( Start time: 05:58:07 PM ) Total Marks: 1

The tractable problems are further divided into structured and ________ problems

Select correct option:

a. Complex

Question # 4 of 10 ( Start time: 05:59:02 PM ) Total Marks: 1

The role of tester is often called the critic

Select correct option:

b. True

Question # 5 of 10 ( Start time: 06:00:07 PM ) Total Marks: 1

Which one is NOT the phase of machine learning:

Select correct option:

c. validation
d. training
e. application
f. none of given

Question # 6 of 10 ( Start time: 06:01:05 PM ) Total Marks: 1

The Candidate-Elimination algorithm represents the ____________

Select correct option:

a. version space

Question # 7 of 10 ( Start time: 06:02:36 PM ) Total Marks: 1

Mamdani’s method was among the first _____________ built using fuzzy set theory.

Select correct option:

b. control systems

Question # 10 of 10 ( Start time: 06:03:42 PM ) Total Marks: 1

_____________ learning works on existing facts and knowledge and deduces new knowledge from the old.

Select correct option:

c. deductive

Existing
Inductive
Deductive
None of the given

Select correct option:
Tractable and Intractable
Intractable and Induction
Tractable and Induction
None of the given

Select correct option:

a. Validation
b. Training
c. Application
d. none of given

Ans: deductive

Select correct option:

Solution

Problem

Knowledge

None of the given

GAIN

Select correct option:

Equal

Greater

Less

None of the given