Este libro es para aquellos que necesitan conocimientos básicos acerca de la Biblia, sus enseñanzas, sus personajes y la ubicación histórica y geográfica de los acontecimientos que relata. El autor ha vertido su experiencia de muchos años como editor de libros cristianos de consulta y pastor de iglesia, a fin de ofrecernos en menos palabras lo que el cristiano común y corriente necesita para conocer mejor la Biblia: El Nuevo diccionario popular de la Biblia. // The New Popular Bible Dictionary is for those who need basic knowledge about the Bible; its teachings, the historical and geographical location of the events mentioned, etc. In this book, the author shares his many years of experience as an editor on Christian Reference books as well as a pastor, giving the common day Christian a better understanding of the Bible.

Nuevo diccionario popular de la Biblia (Un Diccionario Ampliado Y Actualizado) (Spanish Edition)

Religion & Spirituality

Rojas, Juan

Christian Books & Bibles

Editorial Unilit

Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection

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

Computers & Technology

Li, Shuai

Zhou, Xuefeng

Xu, Zhihao

Wu, Hongmin

Computer Science

Springer

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