6 Questions 27 Answers 0 Followers
Questions related from Aman Singh
For example, a given dataset is having 500 samples, 12 attributes and 2 classes. On applying various classification techniques like LDA, QDA, Decision trees, ANN, SVM etc. the obtained accuracy...
03 March 2016 8,620 9 View
Like Linear Discriminant Analysis is linear and ANN and SVM are nonlinear. What are the parameters/factors on which it is being decided that whether the technique is linear or nonlinear in nature.
27 January 2016 3,861 21 View
Classification techniques can be categorized either into supervised and unsupervised learning or into linear, non-linear and decision tree classifications. Kindly help in categorizing the above...
26 January 2016 5,881 3 View
Kindly mention the step wise approach for the applicability of HMM for the classification of a disease. Lets suppose the dataset is having 200 patients and 150 healthy people.
14 December 2015 5,631 8 View
In the first step, hmmgenerate function is used to find initial sequence of emissions and states which takes state transition and emission probabilities as an input. What are the different ways to...
13 December 2015 3,662 7 View
Is there any online/offline data sets available for the experimentation on NAFLD (Non-Alcoholic Fatty Liver Disease) diagnosis which includes any kind of non-invasive attributes like liver...
27 October 2015 7,923 9 View
