43 resultados para Desiderata


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Most of the world’s languages lack electronic word form dictionaries. The linguists who gather such dictionaries could be helped with an efficient morphology workbench that adapts to different environments and uses. A widely usable workbench could be characterized, ideally, as generally applicable, extensible, and freely available (GEA). It seems that such a solution could be implemented in the framework of finite-state methods. The current work defines the GEA desiderata and starts a series of articles concerning these desiderata in finite- state morphology. Subsequent parts will review the state of the art and present an action plan toward creating a widely usable finite-state morphology workbench.

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This paper was presented in a session at the AIDS Impact conference devoted to a debate on the methods that should be used to evaluate educational interventions. The paper highlights two desiderata for evaluation of interventions directed at gay men. First, the view is presented that there is no acceptable substitute for assessing the effect of an intervention on gay men's sexual behaviour (rather than, for example, their AIDS-related attitudes or beliefs). This view is justified in terms of (a) the differences that exist between AIDS-related thinking in the cold light of day and during actual sexual encounters; and (b) the often faulty nature of intuitions about the factors that contribute to sexual risk-taking and the ways in which it might be reduced. Second, it is argued that the randomized control study design represents the best means for ensuring that interventions will be as effective as possible. Criticisms which have been made of this design are discussed and the conclusion drawn that they do not amount to a strong case against it.

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Vols. 2-5 have also collective t.-p.: Les balles de fronde de la république provenant d'Ascoli.

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The consumption of academic journals has radically changed over the past decade, explains the author. While there has been an exponential rise in published scholarship, spiralling costs for commercial journals have caused cutbacks in subscriptions to academic journals by institutional libraries and raised calls for free online access to unpublished work that scholars have produced. The rise of the Internet has facilitated a concomitant growth in online scholarship. What, asks the author, are the promises on online scholarship?

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The next generation manufacturing technologies will draw on new developments in geometric modelling. Based on a comprehensive analysis of the desiderata of next generation geometric modellers, we present a critical review of the major modelling paradigms, namely, CSG, B-Rep, non-manifold, and voxel models. We present arguments to support the view that voxel-based modellers have attributes that make it the representation scheme of choice in meeting the emerging requirements of geometric modelling.

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An exciting application of crowdsourcing is to use social networks in complex task execution. In this paper, we address the problem of a planner who needs to incentivize agents within a network in order to seek their help in executing an atomic task as well as in recruiting other agents to execute the task. We study this mechanism design problem under two natural resource optimization settings: (1) cost critical tasks, where the planner's goal is to minimize the total cost, and (2) time critical tasks, where the goal is to minimize the total time elapsed before the task is executed. We identify a set of desirable properties that should ideally be satisfied by a crowdsourcing mechanism. In particular, sybil-proofness and collapse-proofness are two complementary properties in our desiderata. We prove that no mechanism can satisfy all the desirable properties simultaneously. This leads us naturally to explore approximate versions of the critical properties. We focus our attention on approximate sybil-proofness and our exploration leads to a parametrized family of payment mechanisms which satisfy collapse-proofness. We characterize the approximate versions of the desirable properties in cost critical and time critical domain.

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Demodulation is an ill-posed problem whenever both carrier and envelope signals are broadband and unknown. Here, we approach this problem using the methods of probabilistic inference. The new approach, called Probabilistic Amplitude Demodulation (PAD), is computationally challenging but improves on existing methods in a number of ways. By contrast to previous approaches to demodulation, it satisfies five key desiderata: PAD has soft constraints because it is probabilistic; PAD is able to automatically adjust to the signal because it learns parameters; PAD is user-steerable because the solution can be shaped by user-specific prior information; PAD is robust to broad-band noise because this is modeled explicitly; and PAD's solution is self-consistent, empirically satisfying a Carrier Identity property. Furthermore, the probabilistic view naturally encompasses noise and uncertainty, allowing PAD to cope with missing data and return error bars on carrier and envelope estimates. Finally, we show that when PAD is applied to a bandpass-filtered signal, the stop-band energy of the inferred carrier is minimal, making PAD well-suited to sub-band demodulation. © 2006 IEEE.