書目名稱 | Optimized Bayesian Dynamic Advising |
副標題 | Theory and Algorithm |
編輯 | Miroslav Karny |
視頻video | http://file.papertrans.cn/704/703333/703333.mp4 |
概述 | Provides a generic methodology with elaborated algorithmic image of probabilistic, possibly adaptive, optimised advisory system supporting dynamic decision making under uncertainty in a complex enviro |
叢書名稱 | Advanced Information and Knowledge Processing |
圖書封面 |  |
描述 | This work summarizes the theoretical and algorithmic basis of optimized pr- abilistic advising. It developed from a series of targeted research projects s- ported both by the European Commission and Czech grant bodies. The source text has served as a common basis of communication for the research team. When accumulating and re?ning the material we found that the text could also serve as ? a grand example of the strength of dynamic Bayesian decision making, ? a practical demonstration that computational aspects do matter, ? a reference to ready particular solutions in learning and optimization of decision-making strategies, ? a source of open and challenging problems for postgraduate students, young as well as experienced researchers, ? a departure point for a further systematic development of advanced op- mized advisory systems, for instance, in multiple participant setting. These observations have inspired us to prepare this book. Prague, Czech Republic Miroslav K′ arn′ y October 2004 Josef B¨ ohm Tatiana V. Guy Ladislav Jirsa Ivan Nagy Petr Nedoma Ludv′ ?k Tesa? r Contents 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . |
出版日期 | Book 2006 |
關鍵詞 | Approximation; Support of operators of complex processes; algorithms; biological sciences; biomedical en |
版次 | 1 |
doi | https://doi.org/10.1007/1-84628-254-3 |
isbn_softcover | 978-1-4471-5675-8 |
isbn_ebook | 978-1-84628-254-6Series ISSN 1610-3947 Series E-ISSN 2197-8441 |
issn_series | 1610-3947 |
copyright | Springer-Verlag London 2006 |