1,601 research outputs found

    Indirect Methods for Robot Skill Learning

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    Robot learning algorithms are appealing alternatives for acquiring rational robotic behaviors from data collected during the execution of tasks. Furthermore, most robot learning techniques are stated as isolated stages and focused on directly obtaining rational policies as a result of optimizing only performance measures of single tasks. However, formulating robotic skill acquisition processes in such a way have some disadvantages. For example, if the same skill has to be learned by different robots, independent learning processes should be carried out for acquiring exclusive policies for each robot. Similarly, if a robot has to learn diverse skills, the robot should acquire the policy for each task in separate learning processes, in a sequential order and commonly starting from scratch. In the same way, formulating the learning process in terms of only the performance measure, makes robots to unintentionally avoid situations that should not be repeated, but without any mechanism that captures the necessity of not repeating those wrong behaviors. In contrast, humans and other animals exploit their experience not only for improving the performance of the task they are currently executing, but for constructing indirectly multiple models to help them with that particular task and to generalize to new problems. Accordingly, the models and algorithms proposed in this thesis seek to be more data efficient and extract more information from the interaction data that is collected either from expert\u2019s demonstrations or the robot\u2019s own experience. The first approach encodes robotic skills with shared latent variable models, obtaining latent representations that can be transferred from one robot to others, therefore avoiding to learn the same task from scratch. The second approach learns complex rational policies by representing them as hierarchical models that can perform multiple concurrent tasks, and whose components are learned in the same learning process, instead of separate processes. Finally, the third approach uses the interaction data for learning two alternative and antagonistic policies that capture what to and not to do, and which influence the learning process in addition to the performance measure defined for the task

    Using Machine Learning to Detect Fraud and Predict Time Series

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    Kraftigere maskinvare og bedre maskinlæringsbibloteker gir nye muligheter for databehandling og analyse. Selv-lærende algoritmer har vist at de er i stand til å utkonkurrere menneskeskapte systmer i flere felt, og har blitt viktige deler av mange systemer. I denne rapporten skal vi se på mulighetene rundt risikovurdering av transaksjoner med henysn på data som allerede er inkludert innad i transaksjonene ved å bruke maskinlæring. Videre skal vi demonstrere våre forsøk på å utvikle en modell til å forutse driftsdata med nevrale nettverk, som LSTM og GRU. Målet vårt er å bestemme om metodene kan anvendes på datasettene, og å lage et gjennomførbarhetsbevis, istedenfor et komplett system. Vi skal beskrive relevant maskinlæringsteori, og foreslå videre arbeid.The rise of machine learning allows for many new applications in data analysis and prediction. Self-learning algorithms have shown themselves to be capable of outperforming human-made systems in several fields, and have been integrated on a large scale in human computer systems. In this document, we will first examine the possibility of risk-scoring transactions with respect to the data already sent as part of the transactions, using unsupervised machine learning. Then, we will showcase our attempts at creating a model to predict maintenance data time series with Recurrent Neural Networks such as LSTM and GRU. Our goal is to determine whether the methods are applicable to the data sets, and to create proofs of concept, rather than working systems. Relevant machine learning theory will be introduced, and further work suggested

    The Economy in Virtual World The Possibity of a Realization of Education in Virtual Word

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    Tato práce zkoumá virtuální svět Second Life, především pak jeho ekonomické prostředí. Popisuje a navrhuje možnosti podnikání ve virtuálním světě. Zkoumá a navrhuje také možnosti realizace výuky v tomto prostředí. Tyto návrhy obsahují také konkrétní výčet jednotlivých nákladů a jejich výši.The diploma thesis deals with the virtual world Second Life and in particular with its economic environment. The work describes and suggests business opportunities in the virtual world. It is concerned with education possibilities and proposes its realization. These suggestions also contain an actual enumeration of individual costs and their height.

    The Proposal for Tax Administration Expenses in Company

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    Tato práce zkoumá nepřímé administrativní náklady zdanění. To jsou ty náklady, které je potřeba vynaložit v souvislosti s odevzdáním daně. Výčet těchto nákladů bude aplikován pro potřeby optimalizace v konkrétním podniku. Na základě jednotlivých výpočtů pak bude srovnávací metodou doporučeno firmě takové řešení, které by minimalizovalo náklady.The indirect administration costs of taxation are investigated in this study. They are such expences which must be spent in connection with handover of the taxation. The numeration of such expences will be applicated by the optimisation of adnministration taxation expences in a concrete company. On the basis of these calculations an optimal solution of costs minimalization will be recommended to the concrete company.

    Cooperation of micro sources within small smart grid

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    Tato práce se zabývá návrhem mikro zdrojů a jejich implementací v systému Micro grid. V první části je práce zaměřena na definici sítí smart - grid, kde popisuje jejich výhody, nevýhody a nutné změny ve stávajících sítích pro implementaci těchto systémů. Dále se zabývá podrobnějším popisem Micro grid, uspořádáním sítí tohoto typu, jejich otázkami v implementaci a možnostmi poskytování podpůrných služeb. Práce taktéž okrajově popisuje virtuální elektrárny, uvádí jejich definici, komponenty a typy virtuálních elektráren. V závěrečné kapitole je popsána tvorba jednotlivých mikro zdrojů v programu System modeler a následné testování pokrytí spotřeby elektrické energie pro provoz v ostrovním režimu.This thesis concerns with design of micro sources and their implementation in Micro grid system. In the first part the work is aimed at definition of smart - grid, where describes their advantages, disadvantages and necessary changes, which has to be made in current distribution network for implementation this system. Further on the thesis concerns with detailed description of Micro grid, configuration of this kind of network, the issues in implementation and possibilities to provide ancillary services. The work also describes marginally virtual power plants, presents definition, components and types of virtual power plants. The final chapter describes the creation of micro sources in System modeler and subsequent testing of consumption cover to operate in island mode.

    The Influence of Jewish Culture on Economy of the Town of Holešov

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    Import 04/11/2015Diplomová práce je zaměřena na vliv každoročně pořádaného festivalu Týden židovské kultury na ekonomiku města Holešov. Samotný vliv na ekonomiku města byl zkoumán prostřednictvím výpočtu lokálního multiplikátoru. Holešov patří mezi města v České republice, ve kterých se nacházela početná židovská menšina. Od roku 2001 se v Holešově pořádá festival Týden židovské kultury, který má za cíl přiblížit židovství a život židů ostatním obyvatelům. Protože se jedná o festival kulturně velice přínosný, zabývá se tato práce také jeho ekonomickým přínosem. Ekonomický vliv byl měřen pomocí metody výpočtu lokálního multiplikátoru. Podkladem pro výpočet bylo využito výsledků z dotazníkového šetření. Dotazníky byly ve městě Holešov distribuovány mezi nejvýznamnější podniky, u kterých bylo předpokládáno, že by na ně mohl mít festival největší pozitivní vliv. Metoda výpočtu lokálního multiplikátoru ukazuje, jaká část utracené 1 Kč zůstává ve městě Holešov a dále se multiplikuje a kolik z 1 Kč odtéká z města Holešov do jiných lokací.This thesis is focused on the influence of the annual festival Week of Jewish Culture on the economy of the city Holešov. The actual impact on the economy of the city was find out by calculating the local multiplier. Holešov belong the cities in the Czech Republic, were was located a large Jewish minority. Since 2001 is in organized festival Week of Jewish Culture, which aims to bring Judaism and Jewish life to other people. Because it is a festival culturally very beneficial, this thesis deals with economic influence of festival. The economic impact was measured by using the method of calcuating local multiplier. The calculation was used by the results of the survey. Questionnaires were distributed in Holešov to the most important enterprises in which it was assumed that they could have the greatest positive impact of festival. Method of calculating local multiplier indicates the spent of CZK 1 which remains in Holešov and then multiplies and how much of CZK 1 flows from the Holešov to other locations.118 - Katedra regionální a environmentální ekonomikyvelmi dobř
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