tag:blogger.com,1999:blog-15418143.post9222391360959447073..comments2020-10-13T23:58:58.665-05:00Comments on Tombone's Computer Vision Blog: Linear Support Vector Machine (SVM) in the PrimalTomasz Malisiewiczhttp://www.blogger.com/profile/17507234774392358321noreply@blogger.comBlogger5125tag:blogger.com,1999:blog-15418143.post-24693919167202953272010-08-18T04:05:59.053-05:002010-08-18T04:05:59.053-05:00very interesting!very interesting!dendyhttp://www.pictures-vector.com/noreply@blogger.comtag:blogger.com,1999:blog-15418143.post-59721959417155357232010-04-17T10:05:05.578-05:002010-04-17T10:05:05.578-05:00Hi Sarah,
I would recommend taking a graduate lev...Hi Sarah,<br /><br />I would recommend taking a graduate level Machine Learning course if you really want to understand SVMs. While this will give you the tools to understand linear classification techniques such as logistic regression and SVMs, you will probably want to use a popular (and highly optimized package) for you real scientific experiments.<br /><br />You don't really have to be able to understand all the details of the optimization process involved in using kernelized SVMs to successfully use them in your own work.<br /><br />There is nothing like taking a grad level Machine Learning course. Hopefully it will be intense and involve lots of difficult problem sets which require extensive programming. That's probably the best way to learn, IMHO.Tomasz Malisiewiczhttps://www.blogger.com/profile/17507234774392358321noreply@blogger.comtag:blogger.com,1999:blog-15418143.post-8877679779381190232010-04-17T02:17:13.129-05:002010-04-17T02:17:13.129-05:00hi
i stumbled across your blog in desperation of f...hi<br />i stumbled across your blog in desperation of finding journals on SVm and MATLAB for doing my project<br />the problem is, i never did found any articles or tutorials that could easily make me understand and grasp the whole process of SVM, let alone applying it in my problem.<br />i hope you could help me out a bit since i think you have done the experiment yourself. <br />Of course, i am having problems in adapting the problem with mathlab as well.<br /><br />In your opinion,How can i use SVM and Matlab to solve an age group classification problem?<br />i know it is not impossible to solve that problem, yet i have not found anything that could help me understand in implementing SVM in MATLAB , apart from the SVMtrain function in the biometrics tool in MATLAB,(which i cannot understand enough for me to finish my project)<br /><br />i am terribly sorry if this is in any way troubling you.<br />but i really hope you could help me with this.<br /><br />by the way, im sarah,<br />and im doing a degree in artificial intelligence.sarahnoreply@blogger.comtag:blogger.com,1999:blog-15418143.post-60947778297735786252009-04-03T18:43:00.000-05:002009-04-03T18:43:00.000-05:00I find it odd that this fundamental point is so de...I find it odd that this fundamental point is so deeply obscured in all the major textbooks. It's only when I dug into stochastic gradient descent optimizers that I realized this stuff's all the same. If you check out Leon Bottou's SGD pages and talks, this is pretty clear.<BR/><BR/>Once you realize this, you can start monkeying with the loss in theory, though it's tough when you get outside of convex loss functions. Here's an overview of Martin Jansche's approach using F-measure loss:<BR/><A HREF="http://lingpipe-blog.com/2008/05/23/f-measure-loss-for-logistic-regression/" REL="nofollow">F-measure Loss for "Logistic Regression"</A><BR/><BR/>It also took a while for it to dawn on me that lasso and ridge regression, L1 and L2 regularization, and Laplace and Gaussian priors were three sets of names for the same two things. And that max entropy was just logistic regression (how you see it in comp ling), as are one-level neural nets with softmax activation (how McKay's book refers to it). I read Hastie et al. without ever putting the pieces together. I summarized in a blog entry and our javadoc:<BR/><A HREF="http://lingpipe-blog.com/2008/04/03/logistic-regression-by-any-other-name/" REL="nofollow">Logistic Regression by Any Other Name</A>.Bob Carpenterhttp://lingpipe-blog.com/noreply@blogger.comtag:blogger.com,1999:blog-15418143.post-76092959813223819692008-11-04T11:15:00.000-05:002008-11-04T11:15:00.000-05:00Your post is above me! I think in pictures not num...Your post is above me! I think in pictures not numbers. I am looking for someone interested in quantum mechanics you look like the right person. I have a theory on spacetime. what I need is someone to look at it who knows what they are looking at. I hope you don't mind me dropping in.<BR/><BR/>nickArt and Poetryhttps://www.blogger.com/profile/01991284507367796696noreply@blogger.com