Machine Learning, etc

There's often confusion as to the nature of the differences between Logistic Regression and Naive Bayes Classifier. One way to look at i...

Here is an succinct derivation of probability calculus by Skillings (appeared in Appendix of his MaxEnt 2005 "Bayesics" article)

I needed to refresh some Graphical Models basics, and here are lecture notes I found useful Jeff Bilmes' Graphical Models course , give...

If you've used cell phones to send text messages you probably know about their auto-complete feature. For those that haven't -- each...

Learning from presentation or slides can be a much easier than from papers. I was reminded of that when I ran across Martin Wainwright's...

In a previous post I brought up the 1983 Machine Learning workshop which featured "33 papers", and it was the follow up to the 198...

At the NIPS " Towards Human-Level AI " workshop one of the messages was that perhaps we should first try to achieve rat-level AI, ...

Here's what Aleks Jakulin managed to dig up in Google newsgroup archives "1983 INTERNATIONAL MACHINE LEARNING WORKSHOP: AN INFORMA...

The Key Theorem of the Learning Theory is what Vapnik calls his theorem (for instance here ) that gives the necessary conditions for the Emp...

A google search reveals the following preprints associated with NIPS 2005: Lafferty, Blei, Correlated Topic Models Lafferty, Wasserman, Rode...

Full texts of recent machine learning papers are usually freely available on the web (ie, google). That's often not the case for related...

Here are some useful Mathematica training notebooks I came across. Mathematica Training -- Notebooks from a 2 day Mathematica course NKS su...

I found a book scanner in our library's basement and decided to put it to good use by scanning some hard-to-find-online references on fo...

I've noticed some people I know starting to use CiteULike recently. Services like CiteULike are generally a good development because the...

Here are some journals to keep an eye on, along with their RSS feeds. I picked out the list by seeing where my favourite Machine Learning/st...

From Geomblog -- "Machine learning blogs appear to be popping up faster than you can say 'expectation-maximization'". Wit...

When prior knowledge is given in the form of a prior, Bayesian method is the rational way of making decisions, based on Cox ' arguments....

Quoting -- "Microsoft scientists David Heckerman and Nebojsa Jojic were the first to pioneer the medical uses of anti-spam software. Th...

Browse ML-related tags on Del.icio.us ( http://del.icio.us/tag/machinelearning ) Find people who bookmarked JMLR and browse their book...

I came across CiteULike on Seb's Open Research blog a week ago, tried it out, and it seems very useful. Basically it's a cross bet...

If you are looking for ideas for things to read, you should check out what other Machine Learning Reading Groups are reading. I compiled the...

Second-order methods use an exact Hessian, or a compact approximation to direct the search for the minimum. They are called second-order bec...

I came across an interesting article by Zhu and Lu talking about how non-informative priors can often be counter-intuitive. For instance sup...

I've been doing research in Machine Learning (Conditional Random Fields and related) for the last year. This is a place for me to organi...

Constrained optimization often comes up in machine learning. Finding lengths of best instantaneous code when distribution of source is known...

Here are some things that someone who likes math, Machine Learning or statistics may find interesting Technical: John Langford's blog...

A comment on Computational Complexity blog blog inspired me to look at the following problem Suppose you give true/false test to student...