Titlebook: A Beginner‘s Guide to Finite Mathematics; For Business, Manage W.D. Wallis Textbook 2012Latest edition Springer Science+Business Media, LLC

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Counting,, or latent, attribute of the process being modeled. HMM-based approaches are widely used to analyze features or observations, such as usage and activity profiles and transitions between different states of the process, to predict the most probable sequence of states. The HMM is a stochastic model o

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Probability, characterization of different domestic buildings types is presented in this paper and a holistic approach is introduced, of how to reuse fecal contaminated flows, as well as how to reclaim valuables, like biogas, mineral fertilizer and soil-conditioner by simultaneously eliminating all pathogens an

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Linear Programming,out 1,400 independent banks. And this is not the only difference. Also in respect of their strategy, organizational structure, owners and corporate governance, and, last but not least, an understanding of why they are in business at all, the organizational designs differ remarkably.. In this chapter

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Theory of Games,ant structure of Light Field images..An improved sparse linear prediction method that can be seen as a generalisation of existing linear prediction and sparse representation prediction methods is also presented. Unlike most LSP-based algorithms proposed in literature, which use a fixed filter contex

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Graph Theory,ations of applications in various fields including micro-electromechanical systems (MEMS), manufacturing processes, power networks, traffic control"Efficient Modeling and Control of Large-Scale Systems" is an i978-1-4899-9749-4978-1-4419-5757-3