AI
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The development of Cyc was a very long-term, high-risk gamble that has begun to pay off. Begun as a research project in 1984, Cyc is now a working technology with applications to many real-world business problems. Cyc's vast knowledge base enables it to perform well at tasks that are beyond the capabilities of other software technologies. This page is intended to give an indication of Cyc's potential by describing some tasks to which Cyc is currently being applied and by suggesting others to which Cyc might be applied in the future. You may also be interested in an excerpt from "Ideas for Applying Cyc" , a paper co-authored by Cyc project founder Doug Lenat . The paper is now almost 10 years old, and there is more evidence than ever that something like Cyc will be needed to bring about applications like these.
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Table of Contents The client side library plugs into your server side application. The following API allows for you to register users, award points, award badges, and get widgets to render on your website.
API_Documentation - userinfuser - Client side documentation - Open Source Gamification Platform - Google Project Hosting
That’s quite the mouthful. Let me start with a huge caveat: I’m not an expert on this, and much of it may be incorrect. I studied Bayesian statistics about fifteen years ago in university, but have no recollection of it (that sounds a bit like Bill Clinton: “ I experimented with statistics but didn’t inhale the knowledge ”). Even so, given the increasing quantity of real-time content on the Internet, I find the automated analysis of it fascinating, and hope that something in this post might pique your interest. Naive Bayes classifier Bayesian probability , and in particular the Naïve Bayes classifier , is successfully used in many parts of the web, from IMDB ratings to spam filters.
Self-Improving Bayesian Sentiment Analysis for Twitter
News Analytics: Analytic Tools for Quantitative Finance, Business & More - Recorded Future
Recorded Future collects and organizes discussion of future events. Because many of these are not otherwise curated by an economic calendar or diary, the Recorded Future event-stream provides a more complete view of what the media discussion is expecting companies, products, and people to do.Draw a bounding box around an object in the camera’s field of view and Zdenek Kalal’s open source Predator algorithm will continuously track it in real-time with just a standard webcam. That’s right, get Kinect-like body tracking without the fancy hardware. With all those front-facing cameras out there, just think of the mobile applications! Minority Report-style HCI, face tracking, improved visual search, and video stabilization are a few examples. [via /. ]
Make: Online | High-Quality Open Source Body Tracking Sans Kinect
Position-specific scoring matrices are a popular choice for modelling signals or motifs in biological sequences, both in DNA and protein contexts. A lot of effort has been dedicated to the definition of suitable scores and thresholds for increasing the specificity of the model and the sensitivity of the search. It is quite surprising that, until very recently, little attention has been paid to the actual process of finding the matches of the matrices in a set of sequences, once the score and the threshold have been fixed.
Fast profile matching algorithms – A survey
bayes_motel – Bayesian classification for Ruby
Bayesian classification is an algorithm which allows us to categorize documents probabilistically. I recently started playing with Twitter data and realized there was no Ruby gem which would allow me to build a spam detector for tweets. The classifier gem just works on a set of text by figuring out which words appear in a category but a tweet is much more complicated than that.
Bayes Classification in Ruby - igvita.com
By Ilya Grigorik on May 23, 2007 The Family Guy saga continues . A few days ago the editors of the fan site decided to add a new section: favorite quotes. The users responded with enthusiasm, and began submitting hundreds of their favorite gems. Needless to say, the editors were overwhelmed and decided to invite the engineers to pitch in and help sort through the submissions. Of course, after about five minutes of manual labor, the engineers, who were versed in the intricacies of latent semantic indexing and other machine learning techniques, promptly gave up and automated the process - they built a Bayes classifier .
When you use traditional terrain generation algorithms, the results you get are mostly lifeless. Throwing in a few chicken here and there helps, but it doesn't give you that fascinating world to explore with its own history where everything you see has a reason. DWARF FORTRESS gets around this issue and brings its worlds to life via ... Have you heard about Vienna? The capitol of Austria and former grand capital of the Austro-Hungarian empire?
