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Learning Deployment Trade-offs for Self-Optimization of Internet of Things Applications.

, , , , and . ICAC, page 213-224. USENIX Association, (2013)

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A Bayesian Framework for Life-Long Learning in Context-Aware Mobile Applications., , and . Context in Computing, Springer, (2014)Learning Deployment Trade-offs for Self-Optimization of Internet of Things Applications., , , , and . ICAC, page 213-224. USENIX Association, (2013)Walking in the Clouds: Deployment and Performance Trade-Offs of Smart Mobile Applications for Intelligent Environments., , , and . Intelligent Environments, page 212-219. IEEE, (2013)Support for Data-driven Context Awareness in Smart Mobile and IoT Applications: Resource Efficient Probabilistic Models and a Quality-aware Middleware Architecture ; Ondersteuning voor data-gedreven context-bewustzijn in intelligente mobiele en IoT applicaties: Hulpbronnenefficiënte probabilistische modellen en een kwaliteit-aware middleware architectuur.. Katholieke Universiteit Leuven, Belgium, (2016)base-search.net (ftunivleuven:oai:lirias.kuleuven.be:123456789/534328).A Modular and Distributed Bayesian Framework for Activity Recognition in Dynamic Smart Environments., , and . AmI, volume 8309 of Lecture Notes in Computer Science, page 293-298. Springer, (2013)Enabling Self-learning in Dynamic and Open IoT Environments., , and . ANT/SEIT, volume 32 of Procedia Computer Science, page 207-214. Elsevier, (2014)A Loosely Coupled and Distributed Bayesian Framework for Multi-context Recognition in Dynamic Ubiquitous Environments., , and . UIC/ATC, page 270-277. IEEE Computer Society, (2013)