]]>
]]>
]]>
Utilisation d'une "View Model" pour gérer les formulaires élaborés, dans lesquels les éléments du formulaire ne pas strictement calqués sur le modèle de la base de données.
Everyone can create music * Select 1 of 8 different Sound Patterns from the small Matrixes icons on the right. * Use your mouse to draw notes on each 16 Step Matrix. * For each Pattern, adjust Volume, Mute, Clear, or set Audio Pan from Left to Right. * Click on the Tempo numbers and click up or down to change the overall Tempo. * Get & Share allows you to Send Mail, Get Link, Get Embed code or Spread in communities. * Use the Feedback Forum to tell us what you think, leave your comments or make suggestions. * Check out MOST LISTENED and NEWEST iNudges below!
What is "parsing"? Parsing is processing a series of symbols to extract their meaning. Typically, this means reading the words of a sentence and drawing information from them. When application programs need to process data that is provided as text, they must use some form of parsing logic. This logic scans the text characters and character groups (words) and recognizes patterns of groups to extract the underlying commands or information.
]]>
tldr is an application for navigating through large-scale online discussions. The application visualizes structures and patterns within ongoing conversations to let the user browse to content of most interest. In addition to visual overviews, it also incorporates features such as thread summarization, non-linear navigation, multi-dimensional filtering, and various other features that improve the experience of participating in large-discussions.
NLP (Natural Language Processing) has been an important research field for about 40 years. Incorporating lingustics and computer science methods, this broad topic has many different application areas as well as important problems to solve. Analysing huge files of different languages, discovering patterns, making transformations, categorizing text, analysing and synthesizing speech, making the computers understand the semantics of language data, etc. are all related to NLP in one way or the other.
]]>
]]>
]]>
]]>
The patterns and examples on this site help you create websites the color blind can use without problems.
About 8% of the male population has some sort of color blindness. The color blind have the inability to clearly distinguish different colors of the spectrum, they tend to see colors in a limited range of hues. Because of this, the color blind have trouble with a lot of websites.
About 8% of the male population has some sort of color blindness. The color blind have the inability to clearly distinguish different colors of the spectrum, they tend to see colors in a limited range of hues. Because of this, the color blind have trouble with a lot of websites.
]]>
Summarize a set of RESTful design practices that I have used quite successfully.
]]>
]]>Interestingness is a media (images, videos, etc) ranking algorithm to provide as an additional metric for search results. The algorithm is based upon an algorithm created by the Flickr team, and is further enhanced by metadata knowledge resulted from the Del.icio.us development. The algorithm was first unveiled publicly on Flickr on 2005-08-01.1 SML.SML: Interestingness = f(views, faves, comments, tags, time, user, network relationships); The ranking is based on one or more of the following factors: * the quantity of user-entered metadata2 (i.e. tags) * the number of users who have assigned metadata3 * the number of favorites assigned to the photo4 * relationship between the person who uploaded the photo and the people who are commenting5 * access patterns related to the media object6 (i.e. where the clickthroughs are coming from; who comments on it and when)7 * a lapse of time related to the media object8 (i.e. velocity of metadata acquisition)
Une série d'articles sur l'utilisation de différents modèles de conception en C#
]]>
La table des matières de tous les articles consacrés aux modèles de développement logiciels dans MSDN Magazine
One of the 8 works I created for the Data Art Show at the Pink Hobo Gallery in Minneapolis.
All these pieces are a pun on the new craze for data visualization. The goals of data visualization as I understand them are to make complicated issues more understandable, to make obscured connections visible and to reveal hidden patterns in the data. After all these tasks have been solved ideally the result should be aesthetically pleasing as well.
But when I look around what is being done in data visualization today I have the suspicion that in many cases the design is more important than the actual information and that the use of data is more an excuse to justify the use of aesthetics.
Since I do not have a problem with aesthetics for their own sake in these pieces I deliberately took the opposite direction. Since I wanted to create something visually interesting I made up my own data which would give me the desired results. All these works are the result of generative algorithms, so all the elements and their connections are actually data and not something I assembled manually in Illustrator.
]]>