Prove that for every data-generating distribution D over X × {0,1}, the Bayes optimal predictor has the smallest risk (w.r.t. the loss function _(h, (x, y)) = |h(x)− y|, among all possible label predictors, including probabilistic ones).

1. A probabilistic label predictor is a function that assigns to every domain point a probability value, h(x) ∈ [0,1], that determines the probability of predicting the label 1. That is, given such an and an input, x, the label for is predicted by tossing a coin with bias h(x) toward Heads and predicting 1 iff the coin comes up Heads. Formally, we define a probabilistic label predictor as a function, → [0,1]. The loss of such on an example (xy) is defined to be |h(x)− y|, which is exactly the probability that the prediction of will not be equal to y. Note that if is deterministic, that is, returns values in {0,1}, then |h(x)− y| = 1[h(x)_=y]. Prove that for every data-generating distribution over × {0,1}, the Bayes optimal predictor has the smallest risk (w.r.t. the loss function _(h(xy)) = |h(x)− y|, among all possible label predictors, including probabilistic ones).

 

find the cost of your paper

Write in essay format not in outline, bulleted, numbered or other list format.  

Write an essay of at least 500 words discussing the reasons for the two new auditing roles in Oracle 12c. Why did Oracle consider them necessary? What problems do they solve?….

Determine an appropriate termination condition (e.g., when cost function is less than a threshold, and/or after a given number of iterations).

 In this problem, we write a program to find the coefficients for a linear regression model for the dataset provided (data2.txt). Assume a linear model: y = w0 + w1*x…..

Explain the 4 ways to authenticate a user and supply an example of each?

Please select 5 questions to answer out of the 10 Provided.  Please submit a word file with your answers.  . Explain what Information Security is? 2. Explain the security triad?….