background preloader

FusionCharts 2.3 - Animated Flash Charts

FusionCharts 2.3 - Animated Flash Charts

Avoid Microsoft Software WGA Checks » gHacks tech news I published a guide some days ago that explained how you can download software from Microsoft's Download Center without having to pass Windows Genuine Advantage (WGA) checks. Several users who tried the method ran into issues after successfully downloading the programs to their systems as a second check was performed during installation of said programs on the local system. The problem here was that the software would not install if the check during installation failed, and there was seemingly no option to prevent the check from being executed during installation of the application on the local system. You can use a program like MuBlinder to bypass the checks on the local system as well. Update: The program MuBlinder has not been updated since 2010, which is an indication that it may not be working anymore with newer or updated versions of the Windows operating system. Some users however are reporting that MuBlinder is still working properly. Update: The program is no longer available.

Fouille de textes Un article de Wikipédia, l'encyclopédie libre. La fouille de textes ou "l'extraction de connaissances" dans les textes est une spécialisation de la fouille de données et fait partie du domaine de l'intelligence artificielle. Cette technique est souvent désignée sous l'anglicisme text mining. C'est un ensemble de traitements informatiques consistant à extraire des connaissances selon un critère de nouveauté ou de similarité dans des textes produits par des humains pour des humains. Les disciplines impliquées sont donc la linguistique calculatoire, l'ingénierie du langage, l'apprentissage artificiel, les statistiques et bien sûr l'informatique. Mise en œuvre[modifier | modifier le code] On peut distinguer deux étapes principales dans les traitements mis en place par la fouille de textes. La première étape, l'analyse, consiste à reconnaître les mots, les phrases, leurs rôles grammaticaux, leurs relations et leur sens. Exemple : indexation de textes[modifier | modifier le code]

Official muBlinder Page - P2Plife Forums Spiziuz, on Sep 8 2006, 11:42 AM, said: Major changes in v. 3.0! Gratz with the release, its really cool! The new Blinder-Patch feature is really cool, and ads loads of possibilities to the program! M$ will rip their hair of their head when they see this new program! Thanks, specially for catching the wrong file I uploaded early on ŊŊŦ~ĐẴ, on Sep 8 2006, 11:11 AM, said: DUUUDE.....WarXchild.....you rule......microcrack....er....I mean microshaft.....er.....microsoft is gonna have fun....lol.Oh....and by the way....if you need a test dummy for that proxy problem....you know...with the code that MGA sends when relayin to the site.....just let me know....I've got a few tricks up my sleeve that I've been dyin to try out.....just give me the run-down on the details on it if you can (or want to) and I'll come runnin, lol. Thanks DA. Dont worry, havent used it since then. Quote Oh....another thing.....MuBlinder is in VB, is it not? Will keep your offer in mind, thank you.

Introduction au Text-mining Les outils de text-mining ont pour vocation d’automatiser la structuration des documents peu ou faiblement structurés. Ainsi, à partir d’un document texte, un outil de text-mining va générer de l’information sur le contenu du document. Cette information n’était pas présente, ou explicite, dans le document sous sa forme initiale, elle va être rajoutée, et donc enrichir le document. A quoi cela peut bien servir ? à classifier automatiquement des documentsà avoir un aperçu du contenu d’un document sans le lireà alimenter automatiquement des bases de donnéesà faire de la veille sur des corpus documentaires importantsà enrichir l’index d’un moteur de recherche pour améliorer la consultation des documents Bref, plusieurs usages et plusieurs services peuvent découler des solutions de text-mining. Comment çà marche ? Il y a quelques règles de base que les outils de text-mining se doivent de respecter dans leur traitement. une approche statistiqueune approche sémantique 1. 2. Les désavantages : 3.

Javascript Sound Kit Electrical Engineering News, Resources, and Community | EEWeb Natural Docs Homemade Laser Rangefinder My laser range finder got a lot of interest so I thought I'd try to explain it in more detail. It's not finished yet as it still needs to be mounted on it's stepper motor with a home position switch. The sensor side has been tested on an oscilliscope. When I moved my hand in front of it, the pulse width varied to match. Below is a diagram showing how the sensor works. On the underside of the cpu fan is a small piece of a blank cd glued to the centre of the fan. As you can see, the closer the object, the sharper the angle of the laser. This means that close up, the resolution might be a couple of mm's but further away it will be in cm's. Resolution can be improved by increasing the distance between the spinning mirror and the phototransistor but may reduce the overall range. Despite it's range limitations (at the moment) it has the advantage of being able to detect chair / table legs more accurately. Hope this helps :) I did a few experiments which I briefly covered in boozebot's update.

Related: