Computing Your Skill. Summary: I describe how the TrueSkill algorithm works using concepts you're already familiar with.

TrueSkill is used on Xbox Live to rank and match players and it serves as a great way to understand how statistical machine learning is actually applied today. I’ve also created an open source project where I implemented TrueSkill three different times in increasing complexity and capability. In addition, I've created a detailed supplemental math paper that works out equations that I gloss over here. Feel free to jump to sections that look interesting and ignore ones that seem boring. Accentuate.us: Machine Learning for Complex Language Entry. Editors note: We’d like to invite people with interesting machine learning and data analysis applications to explain the techniques that are working for them in the real world on real data.

Accentuate.us is an open-source browser addon that uses machine learning techniques to make it easier for people around the world to communicate. Authors: Kevin Scannell and Michael Schade. Introduction to programming with OpenCV. A Library for Support Vector Machines. LIBSVM -- A Library for Support Vector Machines Chih-Chung Chang and Chih-Jen Lin Version 3.18 released on April Fools' day, 2014.

It conducts some minor fixes. LIBSVM tools provides many extensions of LIBSVM. Answer to What are some examples of the use of machine learning in distributed systems. Evolving Objects (EO): Evolutionary Computation Framework. Food-bot.com. And so I set out to solve the ultimate problem, a problem that, if solved effectively, could revolutionize the lives of thousands of college students across the country.

As I began formalizing and exploring the problem, I realized it is far less simple than it might first appear, and not unlike a famous challenging problem in computer science. This page explains various aspects of the free food problem as well as various strategies for solving it. problem statement Given an arbitrary document, d, determine whether d contains information about a free food event, and if so, return an array of correctly-associated information about each event (date/time, location, and food type). An important aspect of this problem is the correct classification of an arbitrary document as either free food or non-free food. Manual - genericga - Help manual on how to use the program. - Project Hosting on Google Code.

//Class for constant nodepublic class Const : DblExp{ double k; public Const(double k) { this.k = k; } public double eval(double x) { return k; }} //Class for X nodepublic class X : DblExp{ public X() { } public double eval(double x) { return x; }} //Class for plus nodepublic class Plus : DblExp{ DblExp op1, op2;