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Why do you judge your brother? : the rhetorical function of apostrophizing in Rom 14:1-15:13
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ISBN: 9788876537295 8876537295 Year: 2020 Publisher: Roma Gregorian & Biblical Press


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La teología de la reconciliación en las cartas de san Pablo
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ISBN: 9788490732281 8490732280 Year: 2016 Publisher: Estella: EVD,

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Olympische Helden : Unvergessliche Augenblicke der Olympischen Geschichte von 1896 bis 1972.
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Publisher: Spain Jorge Casas

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La teologia della riconciliazione nell'epistolario paolino
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ISBN: 9788876536830 8876536833 Year: 2015 Publisher: Roma Gregorian & Biblical Press

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Foreign direct investment and spillovers: gradualism may be better.
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Year: 2004 Publisher: London Centre For Economic Policy Research, International Trade. Discussion Paper Nr. 4660. October 2004

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Modificaciones culturales en los restos óseos de Cantona, Puebla : un análisis bioarqueológico
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ISBN: 9789701869611 Year: 2001 Publisher: México, D.F. Instituto Nacional de Antropología e Historia

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Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
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ISBN: 9811562636 9811562628 Year: 2020 Publisher: Springer Nature

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This open access book focuses on robot introspection, which has a direct impact on physical human–robot interaction and long-term autonomy, and which can benefit from autonomous anomaly monitoring and diagnosis, as well as anomaly recovery strategies. In robotics, the ability to reason, solve their own anomalies and proactively enrich owned knowledge is a direct way to improve autonomous behaviors. To this end, the authors start by considering the underlying pattern of multimodal observation during robot manipulation, which can effectively be modeled as a parametric hidden Markov model (HMM). They then adopt a nonparametric Bayesian approach in defining a prior using the hierarchical Dirichlet process (HDP) on the standard HMM parameters, known as the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM). The HDP-HMM can examine an HMM with an unbounded number of possible states and allows flexibility in the complexity of the learned model and the development of reliable and scalable variational inference methods. This book is a valuable reference resource for researchers and designers in the field of robot learning and multimodal perception, as well as for senior undergraduate and graduate university students.

Keywords

Robotics. --- Automation. --- Statistics . --- Control engineering. --- Mechatronics. --- Machine learning. --- Mathematical models. --- Robotics and Automation. --- Bayesian Inference. --- Control, Robotics, Mechatronics. --- Machine Learning. --- Mathematical Modeling and Industrial Mathematics. --- Models, Mathematical --- Simulation methods --- Learning, Machine --- Artificial intelligence --- Machine theory --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Automatic factories --- Automatic production --- Computer control --- Engineering cybernetics --- Factories --- Industrial engineering --- Mechanization --- Assembly-line methods --- Automatic control --- Automatic machinery --- CAD/CAM systems --- Robotics --- Robotics and Automation --- Bayesian Inference --- Control, Robotics, Mechatronics --- Machine Learning --- Mathematical Modeling and Industrial Mathematics --- Robotic Engineering --- Control, Robotics, Automation --- Collaborative Robot Introspection --- Nonparametric Bayesian Inference --- Anomaly Monitoring and Diagnosis --- Multimodal Perception --- Anomaly Recovery --- Human-robot Collaboration --- Robot Safety and Protection --- Hidden Markov Model --- Robot Autonomous Manipulation --- open access --- Bayesian inference --- Automatic control engineering --- Electronic devices & materials --- Machine learning --- Mathematical modelling --- Maths for engineers


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Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
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ISBN: 9789811562631 Year: 2020 Publisher: Singapore Springer Singapore, Imprint: Springer

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This open access book focuses on robot introspection, which has a direct impact on physical human–robot interaction and long-term autonomy, and which can benefit from autonomous anomaly monitoring and diagnosis, as well as anomaly recovery strategies. In robotics, the ability to reason, solve their own anomalies and proactively enrich owned knowledge is a direct way to improve autonomous behaviors. To this end, the authors start by considering the underlying pattern of multimodal observation during robot manipulation, which can effectively be modeled as a parametric hidden Markov model (HMM). They then adopt a nonparametric Bayesian approach in defining a prior using the hierarchical Dirichlet process (HDP) on the standard HMM parameters, known as the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM). The HDP-HMM can examine an HMM with an unbounded number of possible states and allows flexibility in the complexity of the learned model and the development of reliable and scalable variational inference methods. This book is a valuable reference resource for researchers and designers in the field of robot learning and multimodal perception, as well as for senior undergraduate and graduate university students.


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Crotalogia ó Ciencia de las castañuelas. Instruccion cientifica del modo de tocar las castañuelas para baylar el bolero, y poder facilmente, y sin necesidad de maestro, acompañarse en todas las mudanzas, de que está adornado este gracioso bayle español. Parte primera. Contiene una nocion exâcta del instrumento llamado castañuelas, su origen, modo de usarlas [...] Su autor el licenciado Francisco Agustin Florencio
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Year: 1792 Publisher: En Madrid En la Imprenta Real

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