Clustering is a form of unsupervised learning, in which the training data is
available but without the classification information or class labels. The task of
clustering is to identify and group similar individual data elements based on some
measure of similarity.
write the name of predicate action?
|the predicate itself, the pre-condition, and post-condition predicates.|
what is STRIPS?
|STRIP is one of the founding languages developed particularly for planning. Let us understand planning to a better level by seeing what a planning language can represent.|
comparison b/t brain and computer?
Elaborate the five parts of fuzzy inference system?
Five parts of the fuzzy inference process
• Fuzzification of the input variables
• Application of fuzzy operator in the antecedent (premises)
• Implication from antecedent to consequent
• Aggregation of consequents across the rules
• Defuzzification of output
Write the main phases of linear sequance of ESDLC?
The main phases of the
linear sequence are
Knowledge acquisition and analysis
Pattern recognition in computer vision?
Computer vision encompases topics from pattern recognition, machine learning,
geometry, image processing, artificial intelligence, linear algebra and other
backword chain steps define?
1. Start with the goal.
2. Goal may be in WM initially, so check and you are done if found!
3. If not, then search for goal in the THEN part of the rules (match
conclusions, rather than premises). This type of rule is called goal rule.
4. Check to see if the goal rule’s premises are listed in the working memory.
5. Premises not listed become sub-goals to prove.
6. Process continues in a recursive fashion until a premise is found that is
not supported by a rule, i.e. a premise is called a primitive, if it cannot be
concluded by any rule
7. When a primitive is found, ask user for information about it. Back track and
use this information to prove sub-goals and subsequently the goal.
Mcqz form clips and fuzzi systems mostly
(1)What is Goal in STRIPS given an example 2marks
Goal is also represented in the same manner as a state. For example, if the goalof a planning problem is to be at the hotel with radio, it is represented as,
at(hotel) _ have(radio)
(2) elaborate the inductive learning 2mrks
Inductive learning takes examples and generalizes rather than starting with existing knowledge.
(3) Boolean logic is a subset of fuzzi logic if u agree give reason?
Fuzzy logic is a superset of conventional (Boolean) logic that has been extended to handle the concept of partial truth — truth values between “completely true” and “completely false”.
(4) ESDLC steps?
|• Feasibility study • Rapid prototyping • Alpha system (in-house verification) • Beta system (tested by users) • Maintenance and evolution|
(5) write 3 phases of ES life cycle
|Genetic Algorithm is inspired by the structure and/or functional aspects of the biological neural networks and it consist of an interconnected group of artificial neurons. Do you agree or not? 5 marks|
(7) advantages of neural network?
|• Excellent for pattern recognition
• Excellent classifiers
• Handles noisy data well
• Good for generalization
|Who does neural network resemble the human brain.
It resembles the brain in two respects:
Knowledge is acquired by the network through a learning process (called
Interneuron connection strengths known as synaptic weights are used to
store the knowledge
(9)Elaborate version space ?
Version space is a set of all the hypotheses that are consistent with all the
training examples. When we are given a set of training examples D, it is possible
that there might be more than one hypotheses from the hypothesis space that are
consistent with all the training examples.
(10)generic algorithm inspired by the and/or structure of biological neural networks
Ifu r agree give reason 5 mrk
Elaborate the 2 main branches of space but I forget the name of space ma be hypothesis space or version space I don’t knw 5 mrksDOWNLOAD SOLUTION HERE