Rachel Yager

Dr. Rachel Yager specializes in developing strategies for using new emerging Web technologies to attain high impact business solutions. She has expertise in computational intelligence, knowledge engineering, and business analytics for decision support. She earned her Ph.D. in Computer Information Systems, Masters and Bachelor Degree in Engineering. She advises companies on digital architecture, emerging technologies, and new product R&D.

International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (Germany 2010)

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IPMU 2010 conference was hosted in Germany.

The IPMU conference brings together scientists working on methods for the management of uncertainty and aggregation of information in intelligent systems. It provides a medium for the exchange of ideas between theoreticians and practitioners in these and related areas.

Topics and Scope of the Conference

Theory, Methods and Tools: Uncertainty, Bayesian and Probabilistic Methods, Information Theory, Measures of Information and Uncertainty, Evidence and Possibility Theory, Utility Theory, Fuzzy Sets and Fuzzy Logic, Rough Sets, Aggregation Methods, Knowledge Representation, Approximate Reasoning, Non-classical Logics, Default Reasoning, Belief Revision, Argumentation, Ontologies, Uncertainty in Cognition, Graphical Models, Knowledge Acquisition, Machine Learning, Evolutionary Computation, Neural Networks, Data Analysis.

Application Fields: Intelligent Systems and Information Processing, Decision Support, Database and Information Systems, Information Retrieval and Fusion, Image Processing, Multi-Media, Agents, Pattern Recognition, Medicine and Bioinformatics, Finance, Software Engineering, Industrial Engineering.

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