sux0r 2.0 is an extendable content management system (CMS) built around the principles of Naive Bayesian probabilistic content.
Naive Bayesian Categorization is the ouija board of mathematics. Known for being good at filtering junk mail, the Naive Bayesian algorithm can categorize anything so long as there are coherent reference texts to work from. For example, categorizing documents in relation to a vector of political manifestos, or religious holy books, make for a neat trick. More subjective magic 8-ball categories could be "good vs. bad" or company press releases in relation to stock market prices.
In addition to being a blog, RSS aggregator, bookmark repository, and photo publishing platform, sux0r 2.0 allows users to maintain multiple lists of Naive Bayesian categories. These category lists, called vectors, can be shared with other users. This allows a group of trusted friends to share, train, and use sux0r together.
This book is an introduction to Java™ language--a widely used programming language and a platform. It is meant to be both an introductory guide and a useful reference on Java and related technologies.
ChunkIt! is a safe and innovative add-on to your Internet browser that searches and extracts the valuable "chunks" of information often hidden within the countless hyperlinks that comprise the Web.
What do we mean by a "chunk"? Think of a chunk as a compact block of content, text, or data that contains enough descriptive information pertaining to your search terms to convey an idea.
After a quick install, you'll see the new ChunkIt! search box appear in your browser. By entering keywords in the ChunkIt! search box, valuable information from the Web will become much easier to find. This revolutionary approach to search will save you hours of time and frustration because you can avoid aimless browsing and endless clicking from one link to another. It's the perfect application for researching consumer products, gathering important information, sifting through discussion groups and blogs, and finding answers to all your home and technical problems.
Dieses Netzwerk dient als Basis für das zweite Educamp auf deutschem Boden und gleichzeitig das erste internationale Educamp (10.-12.Okt.2008). Es ist die Nachfolgeveranstaltung des ersten EduCamp, welches vom 18. - 20. April 2008 an der Technischen Universität in Ilmenau in Thüringen (nahe Erfurt) stattfand. Hier versammelten sich Knowledge-Worker, Wissenschaftler, Entscheider, Agenturen und Studierende, die sich mit innovativen Formen, Formaten, Technologien, Strategien etc. des mediengestützten Lernens auseinandersetzen.
Es gab im Voraus bereits einige Ideen für das Programm, jedoch findet ein EduCamp nach dem BarCamp-Prinzip (Wiki-Link) statt, das heißt, die konkreten Sessions und Vorträge werden erst vor Ort festgelegt und jeder kann ein Thema mitbringen.
Hier z.B. ein konkreter Lesetipp: Jean-Pol Martin hat in der Wikversity einen lesenswerten Text veröffentlicht, der auch hier in den Foren schon diskutiert, auf dem EduCamp in zwei produktiven Sessions vertieft wurde und schließlich in die Planung gemeinsamer Zukunftsprojekte mündete: zum Text
We are reaching a point where the number of inputs we have as individuals is beginning to exceed what we are capable as humans of managing. The demands for our attention are becoming so great, and the problem so widespread, that it will cause people to crash and curtail these drains. Human attention does not obey Moore's Law.
Using a rule engine provides a framework that allows a way to externalize business logic in a common place. This will in turn empower business users and subject matter experts of the business to easily change and manage the rules. Coding such rules directly into the application makes application maintenance difficult and expensive because the rules change so often. This article goes into detail on how to architect and build a service that uses Drools to provide business decisions. This service can be part of the overall enterprise SOA infrastructure. As such, it can either be a standalone service that is consumed in a one-to-many model by all contracted consumers, or part of a composite service that provides a complex business functionality. To illustrate this point, the article shows how a service using the Drools rule engine can hide the complexity of automating mortgage underwriting decisions that a mortgage company needs to make on a daily basis.
Jigsaw provides an online business directory of company information and more than 10 million business contacts. If your success depends on reaching out to others, Jigsaw is essential. And that's why over 500 corporations and more than 600,000 members turn to Jigsaw.
Every contact in Jigsaw is complete with full name, title, postal address, hard-to-find email address and telephone number.
Spring Remoting with Security and SSL
September 30th, 2008 by Mattias Hellborg Arthursson — Security, Spring
Avatar of Mattias Hellborg Arthursson
One of my favorite features of the Spring Framework is the Spring Remoting part, which enables you to expose any bean in a Spring Application Context as a remote service over HTTP. It's fast, it's easy, and it's really, really simple.
about Art21
By making contemporary art more accessible through public television and the Internet, Art21 affords an intimate encounter with contemporary art and the people who make it, encouraging creative thinking and self-expression.
The Center for Multisource Information Fusion (CMIF) is a research center based at the University at Buffalo and at a non-profit Western New York research center called CUBRC Inc.. Information fusion allows users to assess complex situations more accurately by combining effectively the core evidence in the massive, diverse and sometimes conflicting data received from multiple sources. CUBRC/UB's partners in the center are the Rochester Institute of Technology, which has expertise in image analysis and visualization, and Pennsylvania State University, which also has a long history in information fusion research focused on the human and cognitive aspects.
Neil Ireson, Fabio Ciravegna, Marie Elaine Califf, Dayne Freitag, Nicholas Kushmerick, Alberto Lavelli: Evaluating Machine Learning for Information Extraction, 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany, 7-11 August, 2005