The paper by Wang et al (2005) introduced the fuzzy
SVM but did not address how we can obtain the membership value. This paper fill
up the void.
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Wang, Wang, & Lai (2005) A New Fuzzy Support Vector Machine to Evaluate Credit Risk
A paper referenced by Yu (2014) which introduced the
FSVM to the domain.
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Yu (2014) Credit Risk Evaluation with a Least Squares Fuzzy Support Vector Machine Classifier
A paper first surveys some variations of support vector machines and their solution, and then apply to credit risk evaluation.
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Suykens and Vandewalle (1999) Least Squares Support Vector Machine Classifiers
A short paper reviews the prior work on SVM with kernel functions and then move
on the introduce a SVM classifier formulated by optimizing for least square
error. Refer to previous post for notations.
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Convex optimization with Lagrangian function and Support Vector Machine
This is a summary of the math behind the support vector machine. Start from the
constrained optimization problem, solving one using Lagrangian function, and
application to support vector machine.
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