The fields of similarity and preference are still broadening due to the exploration of new fields of application. This is ...
WeiterlesenThis book helps the reader to understand the physics and chemistry and the capabilities of PTP and TSP. It provides an overview ...
WeiterlesenOne of the key open questions within arti?cial intelligence is how to combine probability and logic with learning. This question ...
WeiterlesenSoils and rocks are among the most variable of all engineering materials, and as such are highly amenable to a probabilistic ...
WeiterlesenProbabilistic and Randomized Methods for Design under Uncertainty examines uncertain systems in control engineering and general ...
WeiterlesenThis book constitutes the thoroughly refereed postproceedings of the 4th International Workshop on Programming Multi-Agent ...
WeiterlesenThis book provides a basic overview over the relevant metrological concepts like traceability, ISO uncertainties or cause-and-effect ...
WeiterlesenPresentations cover, in largely non-technical language, the principal physical and biological aspects of radiation treatment ...
WeiterlesenRandom effects and latent variable models are broadly used in analyses of multivariate data. These models can accommodate ...
WeiterlesenThe book provides an in-depth and uniform treatment of a mathematical model for reasoning robotic agents. The book also contains ...
WeiterlesenThe present book is a festschrift in honor of Luigia Carlucci Aiello. The 18 articles included are written by former students, ...
Weiterlesenincludes contributions on the protection, and restoration of architectural monuments and the reconstruction of major historical ...
WeiterlesenReliability-based Structural Design provides readers with an understanding of the fundamentals and applications of structural ...
WeiterlesenThe papers in this volume integrate results from current research efforts in earthquake engineering with research from the ...
WeiterlesenTwo-stage stochastic optimization is a useful tool for making optimal decisions under uncertainty. Frederike Neise describes ...
WeiterlesenRisk management is a process to assist in the decision-making. The risk management process takes the potential hazards as ...
WeiterlesenThis book brings together the fields of robot spatial mapping and cognitive spatial mapping, Robot spatial mapping, in this ...
WeiterlesenRecently, there has been enormous practical interest in strategies for applying optimization tools to the development of ...
WeiterlesenThis book constitutes the refereed proceedings of the First International Conference on Scalable Uncertainty Management, ...
WeiterlesenThe book address artificial intelligence researchers, database researchers, and practitioners to demonstrate theoretical ...
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