We initialize the parameters to all zero values and run the linear perceptron algorithm through these points in a particular order until convergence. The number of mistakes made on each point are shown in the table below. (These points correspond to the data point in the plot above) Note: You should be able to arrive at the answer without programming. What is the resulting offset parameter $?_{0}$ ? Enter the numerical value for $?_{0}$ : $?_{0} =$ What is the resulting parameter $?$ ? (Enter $?$ as a vector, e.g. type $[0, 1]$ if $? = [01]^{T}$ .) $? =$

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We initialize the parameters to all zero values and run the linear perceptron algorithm through these points in a particular

We initialize the parameters to all zero values and run the linear perceptron algorithm through these points in a particular order until convergence. The number of mistakes made on each point are shown in the table below. (These points correspond to the data point in the plot above) Note: You should be able to arrive at the answer without programming. What is the resulting offset parameter

?_{0}

? Enter the numerical value for

?_{0}

:

?_{0} =

What is the resulting parameter

?

? (Enter

?

as a vector, e.g. type

[0, 1]

if

? = [01]^{T}

.)

? =

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