Ergebnisse für: adaptive Bayesian inference
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This book provides theoretical and practical knowledge for develop ment of algorithms that infer linear and nonlinear models. It offers a methodology for inductive learning of polynomial neural network mod els from data. The design of such tools contributes to better statistical data modelling when ...
This English version of Ruslan L. Stratonovich’s Theory of Information (1975) builds on theory and provides methods, techniques, and concepts toward utilizing critical applications. Unifying theories of information, optimization, and statistical physics, the value of information the...
Mobile manipulation robots are envisioned to provide many useful services both in domestic environments as well as in the industrial context.Examples include domestic service robots that implement large parts of the housework, and versatile industrial assistants that provide automation, transportati...
Context inference is necessary in ubiquitous computing to provide information about contextual information which is not directly measurable from sensors or obtained from other information sources. Server based, central inference would not scale due to the expected amount of context requests. Mobile,...
This brief introduces a class of problems and models for the prediction of the scalar field of interest from noisy observations collected by mobile sensor networks. It also introduces the problem of optimal coordination of robotic sensors to maximize the prediction quality subject to communication a...
This brief introduces a class of problems and models for the prediction of the scalar field of interest from noisy observations collected by mobile sensor networks. It also introduces the problem of optimal coordination of robotic sensors to maximize the prediction quality subject to communication a...
This book provides theoretical and practical knowledge for develop ment of algorithms that infer linear and nonlinear models. It offers a methodology for inductive learning of polynomial neural network mod els from data. The design of such tools contributes to better statistical data modelling when ...
This book provides theoretical and practical knowledge for develop ment of algorithms that infer linear and nonlinear models. It offers a methodology for inductive learning of polynomial neural network mod els from data. The design of such tools contributes to better statistical data modelling when ...
This English version of Ruslan L. Stratonovich’s Theory of Information (1975) builds on theory and provides methods, techniques, and concepts toward utilizing critical applications. Unifying theories of information, optimization, and statistical physics, the value of information the...
This English version of Ruslan L. Stratonovich’s Theory of Information (1975) builds on theory and provides methods, techniques, and concepts toward utilizing critical applications. Unifying theories of information, optimization, and statistical physics, the value of information the...
Mobile manipulation robots are envisioned to provide many useful services both in domestic environments as well as in the industrial context.Examples include domestic service robots that implement large parts of the housework, and versatile industrial assistants that provide automation, transportati...
Mobile manipulation robots are envisioned to provide many useful services both in domestic environments as well as in the industrial context.Examples include domestic service robots that implement large parts of the housework, and versatile industrial assistants that provide automation, transportati...