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Sondage : Barnier au coude-à-coude avec Le Pen

La nouvelle enquete Cluster17 pour << Le Point >> installe le Premier ministre dans le top 5 des personnalites politiques preferees des Francais. Gabriel Attal et Gerald Darmanin chutent.




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Marine Le Pen dans le piège de « l’inéligibilité obligatoire »

Alors que les procureurs doivent requerir, ce mercredi 13 novembre a son proces, la presidente du groupe RN a l'Assemblee redoute, par-dessus tout, d'etre empechee de se presenter en 2027.





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Clásicos que cambian vidas

Los clásicos acumulan el saber y la emoción de las mentes más brillantes de la historia, de los corazones que han latido con más pasión. […]

Origen




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Integrating Personal Web Data through Semantically Enhanced Web Portal

Currently, the World Wide Web is mostly composed of isolated and loosely connected "data islands". Connecting them together and retrieving only the information that is of interest to the user is the common Web usage process. Creating infrastructure that would support automation of that process by aggregating and integrating Web data in accordance to user's personal preferences would greatly improve today's Web usage. A significant part of Web data is available only through the login and password protected applications. As that data is very important for the usefulness of described process, proposed infrastructure needs to support authorized access to user's personal data. In this paper we propose a semantically enhanced Web portal that presents unique personalized user's entry to the domain-specific Web information. We also propose an identity management system that supports authorized access to the protected Web data. To verify the proposed solution, we have built Sweb - a semantically enhanced Web portal that uses proposed identity management system.




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Information Consolidation in Large Bodies of Information

Due to information technologies the problem we are facing today is not a lack of information but too much information. This phenomenon becomes very clear when we consider two figures that are often quoted: Knowledge is doubling in many fields (biology, medicine, computer science, ...) within some 6 years; yet information is doubling every 8 months! This implies that the same piece of information/knowledge is published a large number of times with small variations.

Just look at an arbitrary news item. If considered of some general interest reports of it will appear in all major newspapers, journals, electronic media, etc. This is also the problem with information portals that tie together a number of large databases.

It is our contention that we need methods to reduce the huge set of information concerning a particular topic to a number of pieces of information (let us call each such piece an "essay" in what follows) that present a good cross-section of potential points of view. We will explain why one essay is usually not enough, yet the problem of reducing a huge amount of contributions to a digestible number of essays is formidable, indeed is science fiction at the moment. We will argue in this paper that it is one of the important tasks of computer sciences to start tackling this problem, and we will show that in some special cases partial solutions are possible.




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Text Line Detection and Segmentation: Uneven Skew Angles and Hill-and-Dale Writing

In this paper a line detection and segmentation technique is presented. The proposed technique is an improved version of an older one. The experiments have been performed on the training dataset of the ICDAR 2009 handwriting segmentation contest in order to be able to compare, objectively, the performance of the two techniques. The improvement between the older and newer version is more than 24% while the average extra CPU time cost is less than 200 ms per page.




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Fusion of Complementary Online and Offline Strategies for Recognition of Handwritten Kannada Characters

This work describes an online handwritten character recognition system working in combination with an offline recognition system. The online input data is also converted into an offline image, and in parallel recognized by both online and offline strategies. Features are proposed for offline recognition and a disambiguation step is employed in the offline system for the samples for which the confidence level of the classier is low. The outputs are then combined probabilistically resulting in a classier out-performing both individual systems. Experiments are performed for Kannada, a South Indian Language, over a database of 295 classes. The accuracy of the online recognizer improves by 11% when the combination with offline system is used.




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Choice of Classifiers in Hierarchical Recognition of Online Handwritten Kannada and Tamil Aksharas

In this paper, we propose a novel dexterous technique for fast and accurate recognition of online handwritten Kannada and Tamil characters. Based on the primary classifier output and prior knowledge, the best classifier is chosen from set of three classifiers for second stage classification. Prior knowledge is obtained through analysis of the confusion matrix of primary classifier which helped in identifying the multiple sets of confused characters. Further, studies were carried out to check the performance of secondary classifiers in disambiguating among the confusion sets. Using this technique we have achieved an average accuracy of 92.6% for Kannada characters on the MILE lab dataset and 90.2% for Tamil characters on the HP Labs dataset.




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Realising the Potential of Web 2.0 for Collaborative Learning Using Affordances

With the emergence of the Web 2.0 phenomena, technology-assisted social networking has become the norm. The potential of social software for collaborative learning purposes is clear, but as yet there is little evidence of realisation of the benefits. In this paper we consider Information and Communication Technology student attitudes to collaboration and via two case studies the extent to which they exploit the use of wikis for group collaboration. Even when directed to use a particular wiki designed for the type of project they are involved with, we found that groups utilized the wiki in different ways according to the affordances ascribed to the wiki. We propose that the integration of activity theory with an affordances perspective may lead to improved technology, specifically Web 2.0, assisted collaboration.




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A Clustering Approach for Collaborative Filtering Recommendation Using Social Network Analysis

Collaborative Filtering(CF) is a well-known technique in recommender systems. CF exploits relationships between users and recommends items to the active user according to the ratings of his/her neighbors. CF suffers from the data sparsity problem, where users only rate a small set of items. That makes the computation of similarity between users imprecise and consequently reduces the accuracy of CF algorithms. In this article, we propose a clustering approach based on the social information of users to derive the recommendations. We study the application of this approach in two application scenarios: academic venue recommendation based on collaboration information and trust-based recommendation. Using the data from DBLP digital library and Epinion, the evaluation shows that our clustering technique based CF performs better than traditional CF algorithms.




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Context-Aware Composition and Adaptation based on Model Transformation

Using pre-existing software components (COTS) to develop software systems requires the composition and adaptation of the component interfaces to solve mismatch problems. These mismatches may appear at different interoperability levels (signature, behavioural, quality of service and semantic). In this article, we define an approach which supports composition and adaptation of software components based on model transformation by taking into account the four levels. Signature and behavioural levels are addressed by means of transition systems. Context-awareness and semanticbased techniques are used to tackle quality of service and semantic, respectively, but also both consider the signature level. We have implemented and validated our proposal for the design and application of realistic and complex systems. Here, we illustrate the need to support the variability of the adaptation process in a context-aware pervasive system through a real-world case study, where software components are implemented using Windows Workflow Foundation (WF). We apply our model transformation process to extract transition systems (CA-STS specifications) from WF components. These CA-STSs are used to tackle the composition and adaptation. Then, we generate a CASTS adaptor specification, which is transformed into its corresponding WF adaptor component with the purpose of interacting with all the WF components of the system, thereby avoiding mismatch problems.




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Knowledge Extraction from RDF Data with Activation Patterns

RDF data can be analyzed with various query languages such as SPARQL. However, due to their nature these query languages do not support fuzzy queries that would allow us to extract a broad range of additional information. In this article we present a new method that transforms the information presented by subject-relationobject relations within RDF data into Activation Patterns. These patterns represent a common model that is the basis for a number of sophisticated analysis methods such as semantic relation analysis, semantic search queries, unsupervised clustering, supervised learning or anomaly detection. In this article, we explain the Activation Patterns concept and apply it to an RDF representation of the well known CIA World Factbook.




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Moralisation : Les annonces de Bayrou vont dans le bon sens

Malgré un télescopage plus que dommageable avec l’affaire Ferrand – il aurait déjà dû démissionner – François Bayrou a annoncé un train de mesures visant à moraliser visant à encadrer les élus. Et bien celles-ci vont dans le bon sens. Bien sûr, on pourra...




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Black Friday, bloody Friday

On est enfin à ce jour qui magnifie la contradiction de nos sociétés. A lors qu’on nous met en garde tous les jours contre l’obsolescence programmée de notre unique planète, notre société de sur-consommation nous intime l’ordre de consommer jusqu’à plus...




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Notre Dame des spiritualités.

L’émoi de l’incendie de Notre Dame de Paris dépasse largement nos frontières hexagonales. Et plus intéressant encore, il transcende nos croyances, nos cultures, il touche au plus de profond de l’être humain. A cet égard, j’ai également été touché par...




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Des dizaines de morts dans le sud-ouest du Pakistan après un attentat suicide

Des dizaines de morts dans le sud-ouest du Pakistan après un attentat suicide




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Tensions à l'Université Lyon-3 : la classe politique condamne les attaques contre Yaël Braun-Pivet

Tensions à l'Université Lyon-3 : la classe politique condamne les attaques contre Yaël Braun-Pivet




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La police arrête des dizaines de personnes à Amsterdam après l'interdiction de manifestations

La police arrête des dizaines de personnes à Amsterdam après l'interdiction de manifestations




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Espagne : des problèmes sanitaires dans les zones sinistrées par les inondations

Espagne : des problèmes sanitaires dans les zones sinistrées par les inondations




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No Comment : des heurts et des incendies dans la capitale haïtienne Port-au Prince

No Comment : des heurts et des incendies dans la capitale haïtienne Port-au Prince




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Au moins 22 personnes tuées dans des frappes au Liban et à Gaza, et le cessez-le-feu au point mort

Au moins 22 personnes tuées dans des frappes au Liban et à Gaza, et le cessez-le-feu au point mort




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No Comment : un psychanaliste dans le métro new-yorkais

No Comment : un psychanaliste dans le métro new-yorkais




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Climat : la justice néerlandaise donne raison à Shell face aux ONG

Climat : la justice néerlandaise donne raison à Shell face aux ONG




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Le chef de l'Église anglicane démissionne en raison de sa gestion d'un scandale d'abus sexuels

Le chef de l'Église anglicane démissionne en raison de sa gestion d'un scandale d'abus sexuels




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Les enfants de Gaza au Liban sont pris dans une autre guerre

Les enfants de Gaza au Liban sont pris dans une autre guerre




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A feature-based model selection approach using web traffic for tourism data

The increased volume of accessible internet data creates an opportunity for researchers and practitioners to improve time series forecasting for many indicators. In our study, we assess the value of web traffic data in forecasting the number of short-term visitors travelling to Australia. We propose a feature-based model selection framework which combines random forest with feature ranking process to select the best performing model using limited and informative number of features extracted from web traffic data. The data was obtained for several tourist attraction and tourism information websites that could be visited by potential tourists to find out more about their destinations. The results of random forest models were evaluated over 3- and 12-month forecasting horizon. Features from web traffic data appears in the final model for short term forecasting. Further, the model with additional data performs better on unseen data post the COVID19 pandemic. Our study shows that web traffic data adds value to tourism forecasting and can assist tourist destination site managers and decision makers in forming timely decisions to prepare for changes in tourism demand.




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Smart and adaptive website navigation recommendations based on reinforcement learning

Improving website structures is the main task of a website designer. In recent years, numerous web engineering researchers have investigated navigation recommendation systems. Page recommendation systems are critical for mobile website navigation. Accordingly, we propose a smart and adaptive navigation recommendation system based on reinforcement learning. In this system, user navigation history is used as the input for reinforcement learning model. The model calculates a surf value for each page of the website; this value is used to rank the pages. On the basis of this ranking, the website structure is modified to shorten the user navigation path length. Experiments were conducted to evaluate the performance of the proposed system. The results revealed that user navigation paths could be decreased by up to 50% with training on 12 months of data, indicating that users could more easily find a target web page with the help of the proposed adaptive navigation recommendation system.





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Attention, votre airfryer pourrait produire une substance cancérigène dans vos aliments selon une étude - Yahoo Actualités

  1. Attention, votre airfryer pourrait produire une substance cancérigène dans vos aliments selon une étude  Yahoo Actualités
  2. 3 bonnes raisons de choisir un Airfryer en 2024  La Provence
  3. Nos 30 recettes rapides et faciles au Airfryer, du plat de résistance au dessert  Le Figaro
  4. Les air fryers sont-ils dangereux pour la santé ? Une étude lance l'alerte  Allo Docteurs
  5. Airfryer : attention aux acrylamides potentiellement cancérigènes  Pourquoi Docteur ?













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What is walking pneumonia? As cases rise in Canada, the symptoms to look out for - The Globe and Mail

  1. What is walking pneumonia? As cases rise in Canada, the symptoms to look out for  The Globe and Mail
  2. Walking pneumonia on the rise in Kingston, but treatable  The Kingston Whig-Standard
  3. What parents need to know about walking pneumonia in kids  FingerLakes1.com
  4. Pediatric pneumonia is surging in Central Ohio  MSN
  5. Walking Pneumonia is spiking right now. How do you know you have it?  CBS 6 News Richmond WTVR







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Lego Horizon Adventures is a delightful, kid-friendly twist on Horizon Zero Dawn - Polygon

  1. Lego Horizon Adventures is a delightful, kid-friendly twist on Horizon Zero Dawn  Polygon
  2. Lego Horizon Adventures Review  IGN
  3. How LEGO Horizon Adventures was built with real LEGO bricks, out Nov 14  PlayStation
  4. Lego Horizon Adventures: The Kotaku Review  Yahoo Entertainment
  5. Lego Horizon Adventures Sylens voice actor revealed following Lance Reddick’s passing  Video Games Chronicle






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Justin Welby resigns as archbishop of Canterbury over abuse scandal - Al Jazeera English

  1. Justin Welby resigns as archbishop of Canterbury over abuse scandal  Al Jazeera English
  2. Church of England head resigns over handling of sex abuse scandal  CTV News
  3. The four bishops at risk from child abuse cover-up report  The Telegraph
  4. The archbishop and the abuser  The Economist
  5. Archbishop of Canterbury Justin Welby resigns in abuse fallout: All to know  Al Jazeera English






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Même dans le chrono, Thomas résiste au temps

Tom Dumoulin.
Dans la vingtième étape, un contre-la-montre sélectif entre Saint-Pée-sur-Nivelle et Espelette (31 km), victoire du Néerlandais Tom Dumoulin, une toute petite seconde devant Chris Froome, qui récupère sa marche sur le podium. Troisième de l’étape, le Gallois Geraint Thomas remporte son premier Tour de France.

Sur la route du Tour, envoyé spécial.
D’abord il plut sur les routes du pays basque, ensuite l’asphalte se réchauffa avant de sécher sommairement comme pour favoriser les ...