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Apprentissage Ouvert De Representations Et De Fonctionalites En Robotique
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Book Synopsis Apprentissage ouvert de représentations et de fonctionalités en robotique by : Williams Paquier
Download or read book Apprentissage ouvert de représentations et de fonctionalités en robotique written by Williams Paquier and published by . This book was released on 2004 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: L'acquisition autonome de représentations et de fonctionnalités en robotique pose de nombreux problèmes théoriques. Aujourd'hui, les systèmes robotiques autonomes sont conçus autour d'un ensemble de fonctionnalités. Leurs représentations du monde sont issues de l’analyse d'un problème et d'une modélisation préalablement données par les concepteurs. Cette approche limite les capacités d'apprentissage. Nous proposons dans cette thèse un système ouvert de représentations et de fonctionnalités. Ce système apprend en expérimentant son environnement et est guidé par l’augmentation d’une fonction de valeur. L'objectif du système consiste à agir sur son environnement pour réactiver les représentations dont il avait appris une connotation positive. Une analyse de la capacité à généraliser la production d'actions appropriées pour ces réactivations conduit à définir un ensemble de propriétés nécessaires pour un tel système. Le système de représentation est constitué d'un réseau d'unités de traitement semblables et utilise un codage par position. Le sens de l'état d'une unité dépend de sa position dans le réseau. Ce système de représentation possède des similitudes avec le principe de numération par position. Une représentation correspond à l'activation d'un ensemble d'unités. Ce système a été implémenté dans une suite logicielle appelée NeuSter qui permet de simuler des réseaux de plusieurs millions d'unités et milliard de connexions sur des grappes hétérogènes de machines POSIX. Les premiers résultats permettent de valider les contraintes déduites de l'analyse. Un tel système permet d'apprendre dans un même réseau, de façon hiérarchique et non supervisée, des détecteurs de bords et de traits, de coins, de terminaisons de traits, de visages, de directions de mouvement, de rotations, d'expansions, et de phonèmes. NeuSter apprend en ligne en utilisant uniquement les données de ses capteurs. Il a été testé sur des robots mobiles pour l'apprentissage et le suivi d'objets.
Book Synopsis Apprentissage de représentations et robotique développementale by : Alain Droniou
Download or read book Apprentissage de représentations et robotique développementale written by Alain Droniou and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Afin de pouvoir évoluer de manière autonome et sûre dans leur environnement, les robots doivent être capables d'en construire un modèle fiable et pertinent. Pour des tâches variées dans des environnements complexes, il est difficile de prévoir de manière exhaustive les capacités nécessaires au robot. Il est alors intéressant de doter les robots de mécanismes d'apprentissage leur donnant la possibilité de construire eux-mêmes des représentations adaptées à leur environnement. Se posent alors deux questions : quelle doit être la nature des représentations utilisées et par quels mécanismes peuvent-elles être apprises ? Nous proposons pour cela l'utilisation de l'hypothèse des sous-variétés afin de développer des architectures permettant de faire émerger une représentation symbolique de flux sensorimoteurs bruts. Nous montrons que le paradigme de l'apprentissage profond fournit des mécanismes appropriés à l'apprentissage autonome de telles représentations. Nous démontrons que l'exploitation de la nature multimodale des flux sensorimoteurs permet d'en obtenir une représentation symbolique pertinente. Dans un second temps, nous étudions le problème de l'évolution temporelle des stimuli. Nous discutons les défauts de la plupart des approches aujourd'hui utilisées et nous esquissons une approche à partir de laquelle nous approfondissons deux sous-problèmes. Dans une troisième partie, nous proposons des pistes de recherche pour permettre le passage des expériences de laboratoire à des environnements naturels. Nous explorons plus particulièrement la problématique de la curiosité artificielle dans des réseaux de neurones non supervisés.
Download or read book IJCAI-05 written by Leslie Pack Kaelbling and published by . This book was released on 2005 with total page 1818 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Innovate Bristol by : Sven Boermeester
Download or read book Innovate Bristol written by Sven Boermeester and published by . This book was released on 2019-12 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Innovate Bristol highlights and celebrates those companies and individuals that are actively working at building a better tomorrow for all. Innovation Ecosystems thrive through the involvement and support of companies and individuals from all industries, which is why the Innovate series not only focuses on the innovators but also those people whom the Innovation Ecosystem, would not be able to thrive without.
Book Synopsis Modern Enterprise Data Pipelines by : Mike Bachman
Download or read book Modern Enterprise Data Pipelines written by Mike Bachman and published by . This book was released on 2021-06-25 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: A Dell Technologies perspective on today's data landscape and the key ingredients for planning a modern, distributed data pipeline for your multicloud data-driven enterprise
Book Synopsis Combinatorial Physics by : Adrian Tanasa
Download or read book Combinatorial Physics written by Adrian Tanasa and published by Oxford University Press. This book was released on 2021 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of the book is to use combinatorial techniques to solve fundamental physics problems, and vice-versa, to use theoretical physics techniques to solve combinatorial problems.
Book Synopsis Instructional Techniques to Facilitate Learning and Motivation of Serious Games by : Pieter Wouters
Download or read book Instructional Techniques to Facilitate Learning and Motivation of Serious Games written by Pieter Wouters and published by Springer. This book was released on 2016-10-31 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book introduces techniques to improve the effectiveness of serious games in relation to cognition and motivation. These techniques include ways to improve motivation, collaboration, reflection, and the integration of gameplay into various contexts. The contributing authors expand upon this broad range of techniques, show recent empirical research on each of these techniques that discuss their promise and effectiveness, then present general implications or guidelines that the techniques bring forth. They then suggest how serious games can be improved by implementing the respective technique into a particular game.
Book Synopsis Opinion Mining and Sentiment Analysis by : Bo Pang
Download or read book Opinion Mining and Sentiment Analysis written by Bo Pang and published by Now Publishers Inc. This book was released on 2008 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: This survey covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems.
Book Synopsis Didactics of Smart Pedagogy by : Linda Daniela
Download or read book Didactics of Smart Pedagogy written by Linda Daniela and published by Springer. This book was released on 2018-11-27 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: The focus on smart education has become a new trend in the global educational field. Some countries have already developed smart education systems and there is increasing pressure coming from business and tech communities to continue this development. Simultaneously, there are only fragmented studies on the didactic aspects of technology usage. Thus, pedagogy as a science must engage in a new research direction—smart pedagogy. This book seeks to engage in a new research direction, that of smart pedagogy. It launches discussions on how to use all sorts of smart education solutions in the context of existing learning theories and on how to apply innovative solutions in order to reduce the marginalization of groups in educational contexts. It also explores transformations of pedagogical science, the role of the educator, applicable teaching methods, learning outcomes, and research and assessment of acquired knowledge in an effort to make the smart education process meaningful to a wide audience of international educators, researchers, and administrators working within and tangential to TEL.
Book Synopsis Algorithms for Verifying Deep Neural Networks by : Changliu Liu
Download or read book Algorithms for Verifying Deep Neural Networks written by Changliu Liu and published by . This book was released on 2021-02-11 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks have been widely used in many applications, such as image classification and understanding, language processing, and control of autonomous systems. These networks work by mapping inputs to outputs through a sequence of layers. At each layer, the input to that layer undergoes an affine transformation followed by a simple nonlinear transformation before being passed to the next layer. Neural networks are being used for increasingly important tasks, and in some cases, incorrect outputs can lead to costly consequences, hence validation of correctness at each layer is vital. The sheer size of the networks makes this not feasible using traditional methods. In this monograph, the authors survey a class of methods that are capable of formally verifying properties of deep neural networks. In doing so, they introduce a unified mathematical framework for verifying neural networks, classify existing methods under this framework, provide pedagogical implementations of existing methods, and compare those methods on a set of benchmark problems. Algorithms for Verifying Deep Neural Networks serves as a tutorial for students and professionals interested in this emerging field as well as a benchmark to facilitate the design of new verification algorithms.
Download or read book AI and the Law written by Harry Borovick and published by Springer Nature. This book was released on with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Culture: urban future written by UNESCO and published by UNESCO Publishing. This book was released on 2016-12-31 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Report presents a series of analyses and recommendations for fostering the role of culture for sustainable development. Drawing on a global survey implemented with nine regional partners and insights from scholars, NGOs and urban thinkers, the report offers a global overview of urban heritage safeguarding, conservation and management, as well as the promotion of cultural and creative industries, highlighting their role as resources for sustainable urban development. Report is intended as a policy framework document to support governments in the implementation of the 2030 Agenda for Sustainable Urban Development and the New Urban Agenda.
Book Synopsis CIKM'13 by : CIKM 13 Conference Committee
Download or read book CIKM'13 written by CIKM 13 Conference Committee and published by . This book was released on 2013-10-27 with total page 938 pages. Available in PDF, EPUB and Kindle. Book excerpt: CIKM'13: 22nd ACM International Conference on Information and Knowledge Management Oct 27, 2013-Nov 01, 2013 San Francisco, USA. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
Book Synopsis Orchestration Graphs by : Pierre Dillenbourg
Download or read book Orchestration Graphs written by Pierre Dillenbourg and published by Epfl Press. This book was released on 2015-06-24 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: By modeling pedagogical scenarios as directed geometrical graphs and proposing an associated modeling language, this book describes how rich learning activities, often designed for small classes, can be scaled up for use with thousands of participants. With the vertices of these graphs representing learning activities and the edges capturing the pedagogical relationship between activities, individual, team, and class-wide activities are integrated into a consistent whole. The workflow mechanisms modeled in the graphs enable the construction of scenarios that are richer than those currently implemented in MOOCs. The cognitive states of learners in two consecutive activities feed a transition matrix, which encapsulates the probability of succeeding in the second activity, based on success in the former. This transition matrix is summarized by a numerical value, which is used as the weight of the edge. This pedagogical framework is connected to stochastic models, with the goal of making learning analytics more appealing for data scientists. However, the proposed modeling language is not only useful in learning technologies, it also allows researchers in learning sciences to formally describe the structure of any lesson, from an elementary school lesson with 20 students to an online course with 20,000 participants.
Book Synopsis The Disappearing Computer by : Norbert Streitz
Download or read book The Disappearing Computer written by Norbert Streitz and published by Springer. This book was released on 2007-07-20 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines how the computer, as we currently know it, will be replaced by a new generation of technologies, moving computing off the desktop and ultimately integrating it with real world objects and everyday environments. It provides a unique combination of concepts, methods and prototypes of ubiquitous and pervasive computing reflecting the current interest in smart environments and ambient intelligence.
Book Synopsis Multimodal Scene Understanding by : Michael Ying Yang
Download or read book Multimodal Scene Understanding written by Michael Ying Yang and published by Academic Press. This book was released on 2019-07-16 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multimodal Scene Understanding: Algorithms, Applications and Deep Learning presents recent advances in multi-modal computing, with a focus on computer vision and photogrammetry. It provides the latest algorithms and applications that involve combining multiple sources of information and describes the role and approaches of multi-sensory data and multi-modal deep learning. The book is ideal for researchers from the fields of computer vision, remote sensing, robotics, and photogrammetry, thus helping foster interdisciplinary interaction and collaboration between these realms. Researchers collecting and analyzing multi-sensory data collections – for example, KITTI benchmark (stereo+laser) - from different platforms, such as autonomous vehicles, surveillance cameras, UAVs, planes and satellites will find this book to be very useful. - Contains state-of-the-art developments on multi-modal computing - Shines a focus on algorithms and applications - Presents novel deep learning topics on multi-sensor fusion and multi-modal deep learning
Book Synopsis Global Burden of Disease and Risk Factors by : Alan D. Lopez
Download or read book Global Burden of Disease and Risk Factors written by Alan D. Lopez and published by World Bank Publications. This book was released on 2006-04-02 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: Strategic health planning, the cornerstone of initiatives designed to achieve health improvement goals around the world, requires an understanding of the comparative burden of diseases and injuries, their corresponding risk factors and the likely effects of invervention options. The Global Burden of Disease framework, originally published in 1990, has been widely adopted as the preferred method for health accounting and has become the standard to guide the setting of health research priorities. This publication sets out an updated assessment of the situation, with an analysis of trends observed since 1990 and a chapter on the sensitivity of GBD estimates to various sources of uncertainty in methods and data.
