function because I don't want all possibilities to have the same probability of being selected. So what I have done is created a row vector , (x), of all the possible card values. Now I would like draw a random number from this selection for my 'draw' function. Thanks for the help...
Display n1 with a message:disp(least-squares error of approximation of b by elements of Col A is)display(n1)**Next, input a vectorx=rand(n,1);and compute the error of approximation, n2, of the vector b by a vector A*x of the Col A (fora random vector x). Output and display ...
The generated code might not produce exactly the same pattern ofNaNandInfvalues as MATLAB code when these values are mathematically meaningless. For example, if MATLAB output contains aNaN, output from the generated code should also contain aNaN, but not necessarily in the same place. The bit ...
NumPy also contains a number of useful methods for reading text and binary data files, fitting polynomial functions, many mathematical functions (sine, cosine, square root, and so on), and generating random numbers. The performance-sensitive parts of NumPy are all written in the C language, so...
randInitializeWeights(Random initialization) nnCostFunction(Backpropagation) ex5 Regularized Linear Regression and Bias v.s. Variance linearRegCostFunction learningCurve polyFeatures validationCurve ex6 Support Vector Machines gaussianKerne dataset3Params ...
Even though this is homework without any attempt... here is a neat and efficient MATLAB way to do that (this swaps the first minimum and the first maximum):
%% choose the values from AutoCorrelation to plot L=ceil(length(Autocorr)/4); AutocorrPlot=Autocorr(L:end-L+1); % remove the first and fourth quarters plot(fr/fd,AutocorrPlot) % Plot AutoCorrelation with rexpect to f/fd title('Third Order Filter (fd=100Hz, w0=2*pi*fd/1.2 , zeta...
(Problem 10)Return true if the elements of the input vector increasemonotonically(i.e. each element is larger than the previous). Return false otherwise. Examples: Input x = [-3 0 7] Output tf is true Input x = [2 2] Output tf is false ...
With the evaluation test (split instances and confusion matrix) results for each WEKA and MATLAB, the ECG arrhythmia extraction and analysis were well evaluated for the Random Forest and BayesNet algorithms, while for the CoarseKNN and BoostedTrees algorithms the results were the worst ones. All ...
Use a stem plot to show the binary values for the first 40 bits of the random binary data stream. Use the colon (:) operator in the call to thestemfunction to select a portion of the binary vector. stem(dataIn(1:40),'filled'); title('Random Bits'); xlabel('Bit Index'); ylabel...