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machine learning algorithm
written 7.2 years ago by | modified 2.4 years ago by |
What is the difference between induction learning algorithm and analogy learning algorithm?
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written 7.2 years ago by | modified 2.4 years ago by |
What is the difference between induction learning algorithm and analogy learning algorithm?
written 2.4 years ago by |
Learning by Analogy Algorithm | Learning by Induction Algorithm |
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It is a process of learning a new concept or solution through the use of similar known concepts or solutions. | Inductive learning is the system that tries to induce a general rule based on observed instances. |
This system finds a common substructure between the problem domain and one of the analogous domains stored in the learner’s existing knowledge base. | This system tries to infer an association between specific inputs and outputs. |
This strategy requires more inferencing by the learning system. | This strategy requires less inferencing by the learning system. |
Analogy method involves learning by inductive inference, deductive inference, and systems existing knowledge. | Induction method involves learning by examples, experimentation, observation, and discovery. |
Learning by analogy is also used by humans more frequently. | Generally inductive learning is frequently used by humans. |
It is one of the types of single-agent learning. | It is one of the types of single-agent learning. |
This form of learning is less powerful. | This form of learning is more powerful than the others. |
Example, The driving technique of vehicles. If anyone knows the driving procedure of a bike, then that person will drive a car by using some sort of previous learning procedures. | Example, humans can say the taste of sugar is sweet because they have the knowledge about sweetness. |