I am writing my bachelor\'s thesis using support vector machines. Is it right, that the \"eps开发者_开发知识库ilon\"-parameter is the tolerance when optimization the error (including c)? So if the con
Given a linearly separable dataset, is it necessarily better to use a a hard开发者_开发技巧 margin SVM over a soft-margin SVM?I would expect soft-margin SVM to be better even when training dataset is
unfortunately I have problems using predict() in the following simple example: library(e1071) x <- c(1:10)
for my final thesis i am trying to build up an 3d face recognition system by combining color and depth information. the first step i did, is to realign the data-head to an given model-head using the i
I\'m cross-posting this from math.stackexchange.com because I\'m not getting any feedback and it\'s a time-sensitive question for me.
I am using a multi-dimensional SVM classifier (SVM.NET, a wrapper for libSVM) to classify a set of features.
I am using PyML for SVM classification. However, I noticed that when I evaluate a multi-class classifier using LOO, the results object does not report the sensitivity and PPV values. Instead they are
I have a database with many CVs, including structured data of the gender, age, address, number of years of education, and many other parameters of each person.
I want to classfy News data setand training data are classified with IPTC subject code(Hierarchical classification).
I need a somehow descriptive example showing how to do a 10-fold SVM classification on 开发者_开发问答a two class set of data. there is just one example in the MATLAB documentation but it is not with
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