Languages and Compilers for Parallel Computing : 20th International Workshop, LCPC 2007, Urbana, IL, USA, October 11-13, 2007, Revised Selected Papers
This book constitutes the thoroughly refereed post-conference proceedings of the 20th International Workshop on Languages ...
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Languages and Compilers for Parallel Computing : 21th International Workshop, LCPC 2008, Edmonton, Canada, July 31 - August 2, 2008, Revised Selected Papers
This book constitutes the thoroughly refereed post-conference proceedings of the 21th International Workshop on Languages ...
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Languages, Methodologies and Development Tools for Multi-Agent Systems : First International Workshop, LADS 2007, Durham, UK, September 4-6, 2007. Revised Selected Papers
This book constitutes the thoroughly refereed post-workshop proceedings of the First International Workshop on Languages, ...
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Learning Classifier Systems : 10th International Workshop, IWLCS 2006, Seattle, MA, USA, July 8, 2006 and 11th International Workshop, IWLCS 2007, London, UK, July 8, 2007, Revised Selected Papers
This book constitutes the thoroughly refereed joint post-conference proceedings of two consecutive International Workshops ...
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Learning in Economic Systems with Expectations Feedback
Recently economists have more and more focussed on scenarios in which agents' views of the world may be erroneous. These ...
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Level Crossing Methods in Stochastic Models
Since its inception in 1974, the level crossing approach for analyzing a large class of stochastic models has become increasingly ...
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Lewis Fry Richardson: His Intellectual Legacy and Influence in the Social Sciences
This is book. Lewis F Richardson (1981-1953), a physicist by training, was a pioneer in meteorology and peace research and ...
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Linear and Generalized Linear Mixed Models and Their Applications
This book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and ...
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Linear and Generalized Linear Mixed Models and Their Applications
This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models, and ...
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Linked Democracy : Foundations, Tools, and Applications
This book shows the factors linking information flow, social intelligence, rights management and modelling with epistemic ...
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Machine Learning : The Basics / Alexander Jung
Approaches ML as the computational implementation of the scientific principle. This principle consists of continuously adapting ...
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Magnetism in the Solid State
This book presents a phenomenological approach to the field of solid state magnetism. After introducing the basic concepts ...
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Making Globally Distributed Software Development a Success Story : International Conference on Software Process, ICSP 2008 Leipzig, Germany, May 10-11, 2008 Proceedings
This volume contains papers presented at the International Conference on Software Process (ICSP 2008) held in Leipzig, Germany, ...
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Making Grids Work : Proceedings of the CoreGRID Workshop on Programming Models Grid and P2P System Architecture Grid Systems, Tools and Environments 12-13 June 2007, Heraklion, Crete, Greece
Making Grids Work includes selected articles from the CoreGRID Workshop on Grid Programming Models, Grid and P2P Systems ...
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Management Models for Corporate Social Responsibility
In recent years the field of Corporate Social Responsibility (CSR) has impressively progressed. This has resulted in a number ...
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Managing Distributed Cloud Applications and Infrastructure A Self-Optimising Approach
The emergence of the Internet of Things (IoT), combined with greater heterogeneity not only online in cloud computing architectures ...
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Many-Core Computing : Hardware and software
Provides a timely and coherent account of the recent advances in many-core computing research. Starting with programming ...
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Marine Carbon Biogeochemistry
This book discusses biogeochemical processes relevant to carbon and aims to provide with insight into the functioning of ...
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Markov Chains: Models, Algorithms and Applications
Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems ...
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Markov Chains: Models, Algorithms and Applications
Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems ...
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