'States a' diaporamas de présentation

Chapter 16

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Probability judgment Ec101 Caltech

Probability judgment Ec101 Caltech. How are probability distributions judged? Normative: Optimal inference using laws of statistics Bayesian updating P(H1|data)/P(H2|data)=[P(H1)/P(H2)]xP(data|H1)/P(data|H2)]

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Capabilities, Minimization, and Transformation of Sequential Machines

Capabilities, Minimization, and Transformation of Sequential Machines. Finite-state Model. Deterministic machines: next state S ( t +1) determined uniquely by present state S ( t ) and present input x ( t ) S ( t +1) = { S ( t ), x ( t )} : state transition function

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