120,994 research outputs found

    Inducing Features of Random Fields

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    We present a technique for constructing random fields from a set of training samples. The learning paradigm builds increasingly complex fields by allowing potential functions, or features, that are supported by increasingly large subgraphs. Each feature has a weight that is trained by minimizing the Kullback-Leibler divergence between the model and the empirical distribution of the training data. A greedy algorithm determines how features are incrementally added to the field and an iterative scaling algorithm is used to estimate the optimal values of the weights. The statistical modeling techniques introduced in this paper differ from those common to much of the natural language processing literature since there is no probabilistic finite state or push-down automaton on which the model is built. Our approach also differs from the techniques common to the computer vision literature in that the underlying random fields are non-Markovian and have a large number of parameters that must be estimated. Relations to other learning approaches including decision trees and Boltzmann machines are given. As a demonstration of the method, we describe its application to the problem of automatic word classification in natural language processing. Key words: random field, Kullback-Leibler divergence, iterative scaling, divergence geometry, maximum entropy, EM algorithm, statistical learning, clustering, word morphology, natural language processingComment: 34 pages, compressed postscrip

    Supernovae Shedding Light on Gamma-Ray Bursts

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    We review the observational status of the Supernova (SN)/Gamma-Ray Burst (GRB) connection. In section 2 we provide a short summary of the observational properties of core-collapse SNe. In sections 3-6 we review the circumstantial evidences and the direct observations that support the existence of a deep connection between the death of massive stars and GRBs. Present data suggest that SNe associated with GRBs form a heterogeneous class of objects including both bright and faint Hypernovae and perhaps also `standard' Ib/c events. In section 7, we provide an empirical estimate of the rate of Hypernovae, for a ``MilkyWay-like'' galaxy, of about 2.6×104\sim 2.6\times 10^{-4} yr1^{-1} that may imply the ratio GRB/Hypernovae to be in the range 0.030.7\sim 0.03-0.7. In the same framework we find the ratio GRB/SNe-Ibc to be 0.008÷0.05\sim 0.008\div 0.05. In section 8 we discuss the possible existence of a lag between the SN explosion and the associated gamma-ray event. In the few SN/GRB associations so far discovered the SN explosions and GRB events appear to go off simultaneously. In section 9 we present the conclusions and highlight the open problems that Swift hopefully will allow us to solve.Comment: 20 pages, 13 figures, invited review at the 4th Workshop Gamma-Ray Bursts in the Afterglow Era, Rome,18-22 October 2004. Editors: L. Piro, L. Amati, S. Covino, and B. Gendre. Il Nuovo Cimento, in pres

    Information and knowledge to promote Indian Ocean biodiversity

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    The web portal for Indian Ocean agriculture and biodiversity: www.agriculture-biodiversity-io.org The islands of the Indian Ocean are home to a unique and remarkable biodiversity. They have similar environmental conditions and are subject to common threats (e.g. global changes). Conserving biodiversity is essential to agricultural production, which is itself needed to feed people. Therefore agricultural production and conservation of biodiversity must be balanced for the sustainable development of the region. A web portal was conceived in order to promote this idea. The main targets are producers, scientists, general public, press and decision-makers. The objectives are to inform, to share documentation and knowledge, to offer training about the ways of preserving biodiversity for a sustainable food production. The Agriculture & Biodiversity Web Portal offers information on the strategies of Indian Ocean Commission member states, regulations and ongoing activities & laboratory research in the fields of agriculture and biodiversity. It offers tips for professionals to improve their daily practices, and educational tools for teachers to educate their students. Specialists can become contributor, post information on public forums on the website * and have a private area for major agriculture and biodiversity projects. The visitor can also get access to a specific tool to make contact: the Synaptic web platform. People working in the environment, biodiversity or agriculture can register directly on this platform, which allows to find collaborators. (Résumé d'auteur

    Consequentialism & Machine Ethics: Towards a Foundational Machine Ethic to Ensure the Right Action of Artificial Moral Agents

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    In this paper, I argue that Consequentialism represents a kind of ethical theory that is the most plausible to serve as a basis for a machine ethic. First, I outline the concept of an artificial moral agent and the essential properties of Consequentialism. Then, I present a scenario involving autonomous vehicles to illustrate how the features of Consequentialism inform agent action. Thirdly, an alternative Deontological approach will be evaluated and the problem of moral conflict discussed. Finally, two bottom-up approaches to the development of machine ethics are presented and briefly challenged

    Analysis of a moving mask approximation for martensitic transformations

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    In this work we introduce a moving mask approximation to describe the dynamics of austenite to martensite phase transitions at a continuum level. In this framework, we prove a new type of Hadamard jump condition, from which we deduce that the deformation gradient must be of the form 1+an\mathsf{1} +\mathbf{a}\otimes \mathbf{n} a.e. in the martensite phase. This is useful to better understand the complex microstructures and the formation of curved interfaces between phases in new ultra-low hysteresis alloys such as Zn45Au30Cu25, and provides a selection mechanism for physically-relevant energy-minimising microstructures. In particular, we use the new type of Hadamard jump condition to deduce a rigidity theorem for the two well problem. The latter provides more insight on the cofactor conditions, particular conditions of supercompatibility between phases believed to influence reversibility of martensitic transformations
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