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The Large-Scale Organization of Metabolic Networks

by H. Jeong, B. Tombor, R. Albert, Z. N. Oltvai, A.-L. Barabási , 2000

"... In a cell or microorganism the processes that generate mass, energy, information transfer, and cell fate specification are seamlessly integrated through a complex network of various cellular constituents and reactions. However, despite the key role these networks play in sustaining various cellular ..."

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functions, their large-scale structure is essentially unknown. Here we present the first systematic comparative mathematical analysis of the metabolic networks of 43 organisms representing all three domains of life. We show that, despite significant variances in their individual constituents and pathways

Large-Scale Identification Systems

by Lawrence D. Nadel, Ph. D, Harold J. Korves, Bradford T. Ulery

"... – Large-scale system example ..."

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– Large-scale system example

Large-Scale

by Associative Memory Word-Sense, Nigel Collier

"... In this paper we describe how an associative neural network can be used for word sense disambiguation. The model is implemented as a lexical transfer system for English to Japanese machine translation and trained on a parallel bilingual corpus. Key advantages of the approach are its ability t ..."

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to naturally and efficiently model context for large-scale language processing with a self-organizing knowledge structure. Diverse knowledge types are integrated in a cognitively plausible framework. Simulations show the limits of the model for auto-association as well as generalization. We conclude

● Large-scale

by Steve Waddell

"... In response to the challenge to make globalisation work for all, a new type of organi-sation is emerging, called Global Action Networks (GANs). These networks cross important divides such as developed–developing countries, business–government– civil society, cultures and knowledge disciplines. Their ..."

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. Their core work includes the creation of large-scale profound change that is needed to address global challenges and develop opportunities. Issues include sustainability, corruption, poverty and health. GANs represent a major shift from a ‘Government World ’ where government is the key arbitrator, to a

The tradeoffs of large scale learning

by Léon Bottou, Olivier Bousquet - IN: ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 20 , 2008

"... This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for the case of small-scale and large-scale learning problems. Small-scale learning problems are subject to the usual approx ..."

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This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for the case of small-scale and large-scale learning problems. Small-scale learning problems are subject to the usual

Making Large-Scale SVM Learning Practical

by Thorsten Joachims , 1998

"... Training a support vector machine (SVM) leads to a quadratic optimization problem with bound constraints and one linear equality constraint. Despite the fact that this type of problem is well understood, there are many issues to be considered in designing an SVM learner. In particular, for large lea ..."

Abstract - Cited by 1861 (17 self) - Add to MetaCart

and computational results developed for SV M light V2.0, which make large-scale SVM training more practical. The results give guidelines for the application of SVMs to large domains.