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https://stats.stackexchange.com/questions/146172/bounded-and-unbounded-support-vectors-for-nu-svms
How do we find out which of the support vectors for a nu-svm are its bounded or unbounded support vectors? For c-SVMs the test is easy: a support vector with $\alpha_i = C$ denotes a bounded support vector, while the others are unbounded.
https://www.csie.ntu.edu.tw/%7Ecjlin/libsvm/faq.html
obj is the optimal objective value of the dual SVM problem. rho is the bias term in the decision function sgn(w^Tx - rho). nSV and nBSV are number of support vectors and bounded support vectors (i.e., alpha_i = C). nu-svm is a somewhat equivalent form of C-SVM where C is replaced by nu. nu simply shows the corresponding parameter.
https://stackoverflow.com/questions/9480605/what-is-the-relation-between-the-number-of-support-vectors-and-training-data-and
I am using LibSVM to classify some documents. The documents seem to be a bit difficult to classify as the final results show. However, I have noticed something while training my models. and that is: If my training set is for example 1000 around 800 of them are selected as support vectors.
http://www.cs.cmu.edu/~pakyan/compbio/references/Chang_LIBSVM_2001.pdf
LIBSVM: a Library for Support Vector Machines Chih-Chung Chang and Chih-Jen Lin ... let one control the number of support vectors and errors. The parameter ν ∈(0,1] is an upper bound on the fraction of training errors and a lower bound of the fraction of support vectors.
https://stats.stackexchange.com/questions/146172/bounded-and-unbounded-support-vectors-for-nu-svms/189348
How do we find out which of the support vectors for a nu-svm are its bounded or unbounded support vectors? For c-SVMs the test is easy: a support vector with $\alpha_i = C$ denotes a bounded support vector, while the others are unbounded.
https://www.stat.berkeley.edu/~arturof/Teaching/EE127/Notes/support_vector_machines.pdf
i is a support vector. Note that the support vectors that satisfy 0 i <C are the unbounded or free support vectors. 3.( i= C): Then by (22), y i wTx i+ b = 1 ˘ i, ˘ i 0, and x iis a SV. Note that the SVs with i= C are bounded support vectors; that is, they lie inside the margin. Furthermore, for 0 ˘ …
https://stackoverflow.com/questions/15333745/libsvm-get-support-vectors-from-model-file
According to the libsvm FAQ you can extract the support vectors from the model file: In the model file, after parameters and other informations such as labels , each line represents a support vector. But remember, these are only the support vectors, which are only a fraction of your original input data.
https://stackoverflow.com/questions/3446622/a-few-implementation-details-for-a-support-vector-machine-svm
A few implementation details for a Support-Vector Machine (SVM) Ask Question Asked 9 years, ... one additional training instance could change the selection of the support vectors. But again, i don't know. I think you can solve this problem quite easily by configuring LIBSVM in one-against-many ... I also use LibSVM, and it's quite fast, so it ...
https://www.researchgate.net/publication/228715647_LIBSVM_A_library_for_support_vector_machines
LIBSVM is a library for support vector machines (SVM) [31] which has gained wide popularity in machine learning and many other areas. A typical use of LIBSVM involves two steps: first, training a ...
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