Les algorithmes génétiques - JM Alliot. Algorithme génétique. Un article de Wikipédia, l'encyclopédie libre.
Origines[modifier | modifier le code] La popularisation des algorithmes génétiques sera l'œuvre de David Goldberg à travers son livre Genetic Algorithms in Search, Optimization, and Machine Learning (1989). Ce livre est encore édité aujourd'hui. En Europe, la première conférence sur ce type de sujet fut l'European Conference on Artificial Life en 1991 (elle a fêté ses 20 ans en 2011), coorganisée par Francisco Varela et Paul Bourgine. [1001.1889] Cheating for Problem Solving: A Genetic Algorithm with Social Interactions. Kevin Slavin: How algorithms shape our world. » A Speculative Post on the Idea of Algorithmic Authority Clay Shirky. Jack Balkin invited me to be on a panel yesterday at Yale’s Information Society Project conference, Journalism & The New Media Ecology, and I used my remarks to observe that one of the things up for grabs in the current news environment is the nature of authority.
In particular, I noted that people trust new classes of aggregators and filters, whether Google or Twitter or Wikipedia (in its ‘breaking news’ mode.) I called this tendency algorithmic authority. Algorithmique. Un article de Wikipédia, l'encyclopédie libre.
L'algorithmique est l’ensemble des règles et des techniques qui sont impliquées dans la définition et la conception d'algorithmes, c'est-à-dire de processus systématiques de résolution d'un problème permettant de décrire les étapes vers le résultat. En d'autres termes, un algorithme est une suite finie et non-ambiguë d’instructions permettant de donner la réponse à un problème. Si les instructions d'un algorithme s’exécutent les unes après les autres, l'algorithme est dit séquentiel, si elles s’exécutent en même temps, il est parallèle. Optimisation et algorithmes génétiques - MAGNIN.plil.net. The Algorithmic Origins of Life - Sara Walker (SETI Talks) Laboratory for Web Algorithmics. Click here for PhD projects in I. Some of the CAutoD principles are discussed in: Other relevant papers can also be downloaded in pdf: Book 1: Parallel Processing in a Control Systems Environment, E Rogers & Y Li, Prentice Hall Series on Systems and Control Engineering, 1993, 364 pp, ISBN 0-13-651530-4.
A smart-object recognition algorithm that doesn’t need humans. (Credit: BYU Photo) BYU engineer Dah-Jye Lee has created an algorithm that can accurately identify objects in images or video sequences — without human calibration.
“In most cases, people are in charge of deciding what features to focus on and they then write the algorithm based off that,” said Lee, a professor of electrical and computer engineering. “With our algorithm, we give it a set of images and let the computer decide which features are important.” Humans need not apply. Can Algorithms Find the Best Intelligence Analysts? The U.S intelligence community has a long history of blowing big calls — the fall of the Berlin Wall, Saddam’s WMD, 9/11.
But in each collective fail, there were individual analysts who got it right. Now, the spy agencies want a better way to sort the accurate from the unsound, by applying principles of mathematics to weigh and rank the input of different experts. Network Science. Complex systems made simple. Albert-László Barabási and Yang-Yu Liu, together with their collaborator Jean-Jacques Slotine at M.I.T., have developed a method for observing large, complex systems.
In the image above, red dots represent sensor nodes, which are required to reconstruct the entire internal state of one such system. Image by Mauro Martino. Just as the name implies, complex systems are difficult to tease apart. Pinterest’s Founder: Algorithms Don’t Know What You Want. In 2012 the startup Pinterest became a peer of more established social sites by offering things that they didn’t—an attractive design, a focus on images rather than text, and a mostly female population of users.
On Pinterest, people use virtual “pinboards” to curate collections of images related to their hobbies and interests, discovering new items for their virtual hoards on the boards of friends and in the site’s personalized recommendations. Tom Simonite, MIT Technology Review’s senior IT editor, recently spoke with Ben Silbermann, Pinterest’s cofounder and CEO, about the company’s popularity.
What was the need you were trying to fill when you created Pinterest? We started making Pinterest around 2009, when there was a lot of attention being paid to social services that were focused on real-time text-based feeds like Facebook and Twitter. We felt the things that we enjoyed doing in the real world were hard to express in that format.
The site is established and popular. The Rise of the Algorithmic Medium. Lisa Gwillam and Ray Sweeten form the code-art creating duo DataSpaceTime.
Engaging in the aesthetics, the politics, and various undersides of contemporary backend technology, their pieces break down digital images, investigate how visual data interacts with other visual data, and look at how new technologies play with old ones. Their work also demonstrates how coding can be a form of artistic control and freedom. In 2011, they launched their first project, a succession of large-scale QR code-based portrait paintings of iconic people and objects like Hosni Mubarak, or Carpaccio’s “Portrait of a Young Woman.” The QR codes that form the portrait components each hold their own bit of information–the results of a single internet search, for instance–and work in concert with a proprietary app, which after giving over the necessary permissions, and downloading, unlocks the data for the user. ....
The 10 Algorithms That Dominate Our World. A clustering algorithm based on swarm intelligence. This paper focuses on swarm intelligence based clustering algorithm.
A clustering algorithm based on swarm intelligence is systematically proposed. It derived from a basic model interpreting ant colony organization of cemeteries. Some important concepts, such as swarm similarity, swarm similarity coefficient and probability conversion function are also proposed. The Top 10 Algorithms in Data Mining. Trust Is Not An Algorithm: Big Data Are Hot, But They Also Miss A Lot. Dictionary of Algorithms and Data Structures. This web site is hosted by the Software and Systems Division, Information Technology Laboratory, NIST in collaboration with the FASTAR group.
Development of this dictionary started in 1998 under the editorship of Paul E. Black. This is a dictionary of algorithms, algorithmic techniques, data structures, archetypal problems, and related definitions. Algorithms include common functions, such as Ackermann's function. Problems include traveling salesman and Byzantine generals. List of algorithms. The following is a list of algorithms along with one-line descriptions for each. Combinatorial algorithms General combinatorial algorithms Graph algorithms Graph drawing Network theory Routing for graphs Graph search Algorithme à estimation de distribution. Un article de Wikipédia, l'encyclopédie libre. Les algorithmes à estimation de distribution résolvent des problèmes d'optimisation en échantillonnant un modèle de distribution, dont les paramètres évoluent via des opérateurs de sélection. Ici, un AED à distribution normale mono-variante optimise un problème à une dimension x, l'échantillonnage est présenté aux différentes itérations i.
Inférence bayésienne. Un article de Wikipédia, l'encyclopédie libre. Le raisonnement bayésien s'intéresse aux cas où une proposition pourrait être vraie ou fausse, non pas en raison de son rapport logique à des axiomes tenus pour assurément vrais, mais selon des observations où subsiste une incertitude. Moteur d'inférence. Un article de Wikipédia, l'encyclopédie libre. Bayesian Network - AI Depot. Statistical inference. In statistics, statistical inference is the process of drawing conclusions from data that are subject to random variation, for example, observational errors or sampling variation. Initial requirements of such a system of procedures for inference and induction are that the system should produce reasonable answers when applied to well-defined situations and that it should be general enough to be applied across a range of situations.
Inferential statistics are used to test hypotheses and make estimations using sample data. The outcome of statistical inference may be an answer to the question "what should be done next? ", where this might be a decision about making further experiments or surveys, or about drawing a conclusion before implementing some organizational or governmental policy. The Algorithm: Idiom of Modern Science. By Bernard Chazelle hen the great Dane of 20th century physics, Niels Bohr, was not busy chewing on a juicy morsel of quantum mechanics, he was known to yap away witticisms worthy of Yogi Berra. The classic Bohrism “Prediction is difficult, especially about the future” alas came too late to save Lord Kelvin.
Human Workers, Managed by an Algorithm. Global workforce: Remote digital workers earned $0.32 each for producing these self-portraits. Cours DEA J-M Fouet. How Algorithms and Editors Can Work Together to Burst the "Filter Bubble" The algorithms that surface content for us on Facebook and Google are miracles of modern programming. But Eli Pariser, author and chairman of the board at MoveOn.org, has concerns. In March, Pariser gave a popular TED talk about "filter bubbles" — the idea that when search and social networks only serve us content that we "like," we're not seeing content we need. He cited examples where liberal-leaning Facebook friends only see fellow liberals in their "Top Stories," or a frequent traveler only got tourism results when Googling "Egypt" in the midst of the Arab Spring. As users increasingly get their news from curated social channels, this trend has the potential to isolate us and damage our world view.
The Human Algorithm: Redefining the Value of Data. Your Life is an Algorithm, Your Brain is an Operating System. Meet the algorithm that can learn “everything about anything” Filtrage bayésien du spam. TinkerPop. Ken's Home Page. Algorithm Distinguishes Memes from Ordinary Information — The Physics arXiv Blog. Bayesia - Prenez les bonnes décisions.
About EPlex - Evolutionary Complexity Research Group at UCF. Learning Webs. Algorithmic culture. “Culture now has two audiences: people and machines” — Futurists’ Views. Clever Algorithms: Nature-Inspired Programming Recipes. Introduction to Algorithms. Bayes pour les nuls. Table Row Attributes 6. Algorithms bookmarks. BayesiaLab & Bayesian Networks. Portail:Algorithmique. Algorithm. Qu’est-ce qu’un algorithme ?
La Clé du Médium Algorithmique. In the Olympics of Algorithms, a Russian Keeps Winning Gold. Algorithms. HyperNEAT User's Page. Algorithmia - Open Marketplace for Algorithms.