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Questions related from Eric Nunes
After reading a lot of semi-supervised methods, the way these methods work is by training a small labeled data, then predicting the labels of the unlabeled points incrementally. So if I want to...
04 April 2014 9,108 1 View
I was going over the Co-training technique, which is a widely used semi-supervised method, where you look at the data in two views (split it into two uncorrelated feature sets) and then learn the...
04 April 2014 5,946 4 View
I am working on a classification algorithm, for which I am training a decision tree in C++, via the mexFunction. I am storing all the nodes of the tree with their respective data points, each node...
11 November 2013 9,375 7 View
I am testing a supervised classification algorithm and then comparing it with SVM and KNN. I tested the algorithm using Caltech-256 dataset. I wanted to know which are the commonly-used datasets...
08 August 2013 7,047 1 View
I am doing classification experiments using high dimensional feature vectors, which looks like a sparse vector , having a lot of uninformative and correlated features. I am using a random forest...
08 August 2013 6,684 3 View
I am implementing an unsupervised classification on data using Random forest and using KNN as the clustering method at each node. (this is a multi-class classification problem) I know that a...
06 June 2013 1,576 5 View
I have a a multiclass data-set , which I am analyzing using classification algorithms, but I am having difficultlies plotting the ROC curve. I searched through a lot of papers and sites but most...
06 June 2013 5,302 22 View