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