Lesezeichen (verstecken)131
- 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).
- information on comparing floats
- 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.
- 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.
- This is a list of Wikipedia's major topic classifications. These are used throughout Wikipedia to organize the presentation of links to articles on its various reference systems, including Wikipedia's lists, portals, and categories.
- 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.
- Free and Open Source Software (FOSS) for Sun Microsystem's Solaris
- THE ENGINEER'S ULTIMATE GUIDE TO WAVELET ANALYSIS: The Wavelet Tutorial
- Commonly used commands from the vim text editor.
- BitC is a new systems programming language. It seeks to combine the flexibility, safety, and richness of Standard ML or Haskell with the low-level expressiveness of C.
- 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!
- Due to an explosion of data, there has been an increasing demand for scalable machine learning and data mining algorithms in many applications, such as social network analysis, information retrieval, recommendation system, biology applications, multimedia, and e-commerce. The objective of this special issue is to connect academia and industry on the methods and experiences of large scale data analysis. We look for scalable machine learning, data mining algorithms, implementations, frameworks and case studies that target at real and practical scenarios for large datasets. The focus is to identify the real challenges in large-scale data mining and to investigate the scalable methods and practical solutions of the core machine learning and data mining problems with respect to both theoretical and experimental perspectives.
- 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
- Here you have a DBSCAN code implemented in C++, boost and stl
публикации (спрятать)135
- Statistical Science, 16 (3): 199--215 (2001)
- British Journal of Mathematical and Statistical Psychology, 59 (1): 1--34 (2006)
- ACM Trans. Inf. Syst., (Dezember 2008)
- SIGIR Forum, (Juni 2009)
- Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, стр. 11--18. New York, NY, USA, ACM, (2006)
