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Subscript into a timetable with the timerange, withtol, or vartype functions. Resample and Aggregate Data in Timetable. Resample or aggregate data in a timetable to a new vector of row times. Combine Timetables and Synchronize Their Data. Combine timetables by concatenation or by synchronizing their data to a common time vector. Grouping by gender and smoker status, compute the group counts. B contains the counts for each group. BG is a cell array containing two vectors that describe the groups as you look at their elements rowwise. For instance, the first row of BG{1} says that the patients in the first group are female, and the first row of BG{2} says that they are ...

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Using Only The Training Data, Find The Maximum Likelihood Estimator For The Following Parameters: Class One: μ, σ Class Two: μ, σ Classify Each Of The Test Samples Using A Bayesian Classifier (you Must Matlab template below: function probability = computeGaussianDensity(mean, stdDev, x).$\begingroup$ I don't know about that package, but if you use the TreeBagger class in Matlab (in the stats toolbox) then it uses the ClassRegTree class to build the trees which has options about what function it bases the split on but the Gini Index is the default option. $\endgroup$ – Dan May 13 '14 at 14:37

Data Types in MATLAB are the supported data formats that are used for computation. MATLAB is a popular mathematical and statistical data analysis tool that has a wide range of features for the computation. The various types of data type MATLAB supporting are numeric types, characters...Now I have a R data frame (training), can anyone tell me how to randomly split this data set to do 10-fold cross validation? Stack Exchange Network Stack Exchange network consists of 176 Q&A communities including Stack Overflow , the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. 2020-12-29T23:36:07+01:00www.theses.fr.http://www.theses.fr/?q=*:Knowledge engineering&facet=true&facet.mincount=1&qt=dismax&mm=100%&qf=abstracts^30 titres^25 titre2s ...