2. Consider a case of two classes, with class conditional probabilities p(x|Ck) and class priors p(Ck)....
6. Suppose that fish come in two classes, salmon (class 1) and sea bass (class 2). We take a picture of a fish and measure its length, x, and wish to make a decision on the identity of the fish based on the value of x. Determine the decision regions in x for the Bayes classifier corresponding to the two classes under the following conditions (a) We assume that the class conditional densities are Gaussian with the following means, variances...
4. Let x- be a two dimensional feature vector (a) Suppose that we collect the following four measurements for an input belonging to class a x1 -6 -10 10 -6 Assuming that the class conditional density is Gaussian, find the maximum likelihood estimates of the mean vector and covariance matrix for class ω (b) Suppose that data come from two classes, a, and co,. Assume that . The a priori class probabilities are equal . The class conditional densities are...
Once again, consider the use of DNN for classification task with the specific architecture below that we have encountered in the class as well as in assignment 1. This question will investigate deeper into this network to provide it with further flexiblity. sottmax Output layer h(x) Hidden layer hx) w-1, bi-i 2,ha Hidden layer Wih1 Input layer h° (x)x Since the last layer has lwa hidden units followed by a softmax functio, this DNN is a binary classifier. Binary classifier...
Consider a Markov chain with transition probabilities p(x, y), with state space S = {1, 2, . . . , 10}, and assume X0 = 3. Express the conditional probability P3(X6 =7, X5 =3 | X4 =1, X9 =3) entirely in terms of (if necessary, multi-step) transition probabilities.
In the Stackelberg model we saw in class there were two firms 1 and 2. Suppose that the market demand is p(Q) = 60−Q, where as in class Q is the aggregate quantity. The const function for firm 1 is c1(q1) = 10q1 and the cost function for firm 2 is c2(q2) = q2. Firm 1 is the leader and Firm 2 is the follower. (a) Solve for the follow’s reaction function, and the leader’s maximization problem. (b) Describe the...
Question 8 please
5. We start with Schrodinger's Equation in 2(x,t) = H¥(x,t). We can write the time derivative as 2.4(x, t) = V(x,+) - (xt), where At is a sufficiently small increment of time. Plug the algebraic form of the derivative into Schrodinger's Eq. and solve for '(x,t+At). b. Put your answer in the form (x,t+At) = T '(x,t). c. What physically does the operator T do to the function '(x,t)? d. Deduce an expression for '(x,t+24t), in terms...
81. Consider the function g(x, y) given by, 1 1.52.53 11/4 0 0 0 2 0 1/8 0 0 y 3 0 1/4 0 0 4 0 0 1/4 0 5 00 0 1/8 and complete / determine the following: (a) Show that g(x, y) satisfies the properties of a joint pmf. (See Table in ?6.0.1.) (b) P(X < 2.5,Y < 3) (c) P(X < 2.5) (d) P(Y < 3) (e) P(X> 1.8, Y> 4.7) (f) E[X], EY], Var(X), Var(Y)...
Problem 2. Consider the following joint probabilities for the two variables X and Y. 1 2 3 .14 .25 .01 2 33 .10 .07 3 .03 .05 .02 Find the marginal probability distribution of Y and graph it. Show your calculations. b. Find the conditional probability distribution of Y (given that X = 2) and graph it. Show your calculations. c. Do your results in (a) and (b) satisfy the probability distribution requirements? Explain clearly. d. Find the correlation coefficient...
11.2 Let X have the Poisson distribution with parameter 2. a) Determine the MGF of X. Hint: Use the exponential series, Equation (5.26) on page 222 b) Use the result of part (a) to obtain the mean and variance of X. ons, binomial probabilities can -a7k/k!. These quantities are useful The Poisson Distribution From Proposition 5.7, we know that, under certain conditions, binomial be well approximated by quantities of the form e-^1/k!. These in many other contexts. begin, we show...
Q.2 Two firms produce homogeneous products. The inverse demand function is: p(x1,x2)-a-x1- x2, where x is the quantity chosen by firm 1, x2 the quantity chosen by firm 2, and a > 0. The cost functions are C1 (x1)-x follower. and C2(x2)- . Firm I is a Stackelberg leader and firm 2 a Stackelberg Q.2.a Find the subgame-perfect quantities. Q.2.b Calculate each firm's equilibrium profit.