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What is the process of identifying a parameter value from a training set that could result in the minimisation of error called?

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What is the process of identifying a parameter value from a training set that could result in the minimisation of error called?

(a) K-nearest neighbours algorithm

(b) Leave one out cross validation algorithm

(c) Bayesian algorithm

(d) Markov theorem

This question was posed to me in exam.

My doubt is from Techniques in division Cognitive Techniques of Cognitive Radio

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Best answer
Correct option is (b) Leave one out cross validation algorithm

Best explanation: The level of importance exhibited towards a parameter can be varied by adjusting the weights associated with each parameter. The degree of importance may be increased by increasing the value on scale. Leave one out cross validation algorithm is employed to learn the weights from the instances defined in the training set.

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