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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Git, mercurial, and synchronized repositories
The first version control system I used was CSV, then I moved to Subversion as everyone else does. Later, people start to look for server-less solutions and I used Mercurial. I even made a cheatsheet about it that is now the top result on Google for searching “mercurial cheatsheet”. But...
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Jeong et al (2014) mTCP - A highly scalable user-level TCP stack for multicore systems
A paper addresses the inefficiency of TCP in Linux kernel.
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