Welcome to OSDev.org, the largest online community of operating system developers. If you want to learn how to write your own OS we have all the information to get you started. Read our OS development wiki to learn where to start. The forums are a great place to discuss OS theory and ask for help when you get stuck. Don't forget to add a link on the OS List to your OS project once it gets going.
The MCL algorithm is short for the Markov Cluster Algorithm, a fast and scalable unsupervised cluster algorithm for graphs based on simulation of (stochastic) flow in graphs.
Categories are pages that are used to group other pages on similar subjects together. This is done to help users find the pages they are looking for, even if they do not know whether it exists or what it is called.
Every page should belong to at least one category. A page may often be in several categories. However, putting a page in too many categories may not be useful.
Consensus clustering has emerged as an important elaboration of the classical clustering problem. Consensus clustering, also called aggregation of clustering (or partitions), refers to the situation in which a number of different (input) clusterings have been obtained for a particular dataset and it is desired to find a single (consensus) clustering which is a better fit in some sense than the existing clusterings. Consensus clustering is thus the problem of reconciling clustering information about the same data set coming from different sources or from different runs of the same algorithm. When cast as an optimization problem, consensus clustering is known as median partition, and has been shown to be NP-complete.
The M-tree is an index structure that can be used for the efficient resolution of similarity queries on complex objects to be compared using an arbitrary metric
The FOSS in Research and Student Innovation Miniconf brings together researchers and students with an active interest in Free and Open Source Software with the broader Linux.conf.au community to highlight exciting work taking place within the often esoteric world of academia and educational institutions.
The Miniconf is part of Linux.conf.au 2011, being held at the QUT Gardens Point Campus in Brisbane, Queensland in January.
Topics are split into two streams: FOSS in Research, which invites presentations on research relating to Free and Open Source Software; and Student Innovation, which explores new and exciting work in the FOSS world conducted by students. Presentations may be proposed in a 25-minute talk format (20 minutes talk + 5 minutes discussion).
The following article will describe how to configure a CentOS 5.x-based or Centos 6.x-based system to use Fedora Epel repos and third party remi package repos. These package repositories are not officially supported by CentOS, but they provide much more current versions of popular applications like PHP or MYSQL.
This website provides tutorials and sample course content so CS students and educators can learn more about current computing technologies and paradigms. In particular, this content is Creative Commons licensed which makes it easy for CS educators to use in their own classes.
The Courses section contains tutorials, lecture slides, and problem sets for a variety of topic areas:
AJAX Programming
Algorithms
Distributed Systems
Web Security
Languages
In the Tools 101 section, you will find a set of introductions to some common tools used in Computer Science such as version control systems and databases.
The CS Curriculum Search will help you find teaching materials that have been published to the web by faculty from CS departments around the world. You can refine your search to display just lectures, assignments or reference materials for a set of courses.
If you install macports you can install gcc select, and then choose your gcc version.
/opt/local/bin/port install gcc_select
To see your versions use
port select --list gcc
To select a version use
sudo port select --set gcc gcc40
The GWT Window Manager provides a high level windowing system for the GWT applications. It offers a desktop component, dialog features , free floating windows and more. Try it by yourself and feel free to use it, it's free!
Wikipedia is a terrific knowledge resource, and many recent studies in artificial intelligence, information retrieval and related fields used Wikipedia to endow computers with (some) human knowledge. Wikipedia dumps are publicly available in XML format, but they have a few shortcomings. First, they contain a lot of information that is often not used when Wikipedia texts are used as knowledge (e.g., ids of users who changed each article, timestamps of article modifications). On the other hand, the XML dumps do not contain a lot of useful information that could be inferred from the dump, such as link tables, category hierarchy, resolution of redirection links etc.
This is a "tree of all knowledge" category, a top-level place to start when browsing Wikipedia categories for articles. This is the top level in terms of encyclopedia article function and content. It is intended to contain all and only the few most fundamental ontological categories which can reasonably be expected to contain every possible Wikipedia article under their category trees. These categories are: physical entities; biological entities; social entities; and intellectual entities.
An alternative root category, based on a somewhat more detailed initial classification, is Category:Main topic classifications.
Elefant (Efficient Learning, Large-scale Inference, and Optimisation Toolkit) is an open source library for machine learning licensed under the Mozilla Public License (MPL). We develop an open source machine learning toolkit which provides