libsvm-plus matlab interface 2.88 is out

After seriously working on the libsvm-plus code, now I have made a matlab interface for it. And Now several new features are supported:

(1) One-Vs-One MC-SVC
(2) One-Vs-Rest MC-SVC
(3) DDAG MC-SVC

Plz keep an eye on my blog.

libsvm plus MATLAB interface

Finally, I have compiled an interface for libsvm plus. I should thank Nemo for providing us a free version of libsvm plus with neat coding. Also, I should thank Hsuan-Tien and Nemo for the help in the initialization methods of my QP solver. A new feature like CCMEB, is now inluded as a solver for the general center-constrtained minimum enclosing ball problem. For an experimental version, you could send your request to my email: xunkaidotweiatgmaildotcom

New QP solver will be included!

Ha, after several weeks' work, I have compiled a new QP solver for general QP problem, the new solver is based on LIBSVM and Coreset MEB. I use LIBSVM-SMO as a core solver, and use coreset for further speedup. Note it only solves QP with bounded inequality and equality constraints.

Enclosing Machine Learning for PR

Since this term, I'm working towards improving EML learning performance. Till now, Everything goes well. I think I can solve two difficult problems existed in SVM learning. One is multiple class SVM, the other one is multivariate SVR. Both are chanlleging problems. Actually, I got ideas for these two problems in 2005. But now they seems more important than before. Since I need more excellent journal papers for completing my two project. So today might be the new start point.

Work Hard!

Enclosing Machine Learning Toolbox In preparation

After almost one year's work, I have just completed the initial Enclosing machine learning toolbox. The whole toolbox is written in MATLAB with patially C-code for speedup. Now the supported features are:

(1) L2SVC

(2) L2OCSVM

(3) RKHSMEB

(4) L2SVR

(5) Pending features include: Ranking, Manifold Learning, etc.

and Currently the supported solvers are:

(1) CPLEX

(2) MATLAB Solver

(3) GMNP Solver by V. F

(4) Pending Solvers include Libsvm etc.

I think I will give away all the source codes when I'm graduated in June this year!

So if you interest in it, just leave me a message and I will e-mail you when available!

RKHS for vector value function learning

This idea is quite straightforward for generalization. Just need to redefine according definition and derive related theorems. Yet this work is quite hard.

New idea

Ha,

Recently, we have read a new paper called ellipsoidal kernel machine, this paper gives us many hints about Mahalanobis SVM. We can have similar ideas towards improving the VC bound analysis of SVM. I think this point is important. Yet, the remain is also difficult. Because We have to derive the theoretical proof of it.
One Possible way is that firstly by defining a Mahalanobis transform, we also get a new space, we only need to prove that this new space is also a RKHS, then similar conclusions may be applied.

Anybody interested may give some suggestions.