Computational learning theory analyzes the sample complexity and computational complexity of ________

Artificial Intelligence - Quiz(MCQ)

Inductive learning

Weak learning

Forced based learning

Unsupervised Learning

Correct Answer : Inductive learning

Explanation : Computational learning theory analyzes the sample complexity and computational complexity of inductive learning. There is a tradeoff between the expressiveness of the hypothesis language and the ease of learning.

Recently Updated in Artificial Intelligence Questions

Which of the following are used for modeling times series and sequences?

Decision graphs

Dynamic Bayesian networks

Parameter tuning

Value of information

Correct Answer : Dynamic Bayesian networks

Explanation : Dynamic Bayesian networks (DBNs) are used for modeling times series and sequences.

The generalized form of Bayesian network that represents and solve decision problems under uncertain knowledge is known as an?

Influence diagram

Directed Acyclic Graph

Table of conditional probabilities

None of the above

Correct Answer : Influence diagram

Explanation : The generalized form of Bayesian network that represents and solve decision problems under uncertain knowledge is known as an Influence diagram

How can you evaluate 1.25 + sqrt (144) in LISP?

1.25+sqrt (1.44)

(1.25+sqrt (1.44))

(+1.25 sqrt (1.44)

All of the above

Correct Answer : (+1.25 sqrt (1.44)