A Probabilistic Approach for Context Reasoning
نویسنده
چکیده
In this paper we present an approach for reasoning about continuous context variables. We introduce a probabilistic mechanism based on efficient geometric structures that avoid typical restrictions of existing approaches. Especially, we can model non-Gaussian distributions, negated statements and we can deal with external knowledge that is only accessible on demand.
منابع مشابه
Context-aware Modeling for Spatio-temporal Data Transmitted from a Wireless Body Sensor Network
Context-aware systems must be interoperable and work across different platforms at any time and in any place. Context data collected from wireless body area networks (WBAN) may be heterogeneous and imperfect, which makes their design and implementation difficult. In this research, we introduce a model which takes the dynamic nature of a context-aware system into consideration. This model is con...
متن کاملEecient Temporal Probabilistic Reasoning via Context-sensitive Model Construction
We present a language for representing context-sensitive temporal probabilistic knowledge. Context constraints allow inference to be focused on only the relevant portions of the probabilistic knowledge. We provide a declarative semantics for our language. We present a sound and complete algorithm for computing posterior probabilities of temporal queries, as well as an eecient implementation of ...
متن کاملEfficient temporal probabilistic reasoning via context-sensitive model construction.
We present a language for representing context-sensitive temporal probabilistic knowledge. Context constraints allow inference to be focused on only the relevant portions of the probabilistic knowledge. We provide a declarative semantics for our language. We present a sound and complete algorithm for computing posterior probabilities of temporal queries, as well as an efficient implementation o...
متن کاملOccupational Therapists\' Clinical Reasoning: A Qualitative Study
Objectives: Clinical reasoning is at the heart of clinical work; it is affected by different field factors. A clear understanding of the reasoning process could solve practitioners' problems on how to make their underlying theories, assumptions and values more explicit. The aim of this research is to understand how clinical reasoning process is formed in the context of occupational therapists w...
متن کاملLoad-Frequency Control: a GA based Bayesian Networks Multi-agent System
Bayesian Networks (BN) provides a robust probabilistic method of reasoning under uncertainty. They have been successfully applied in a variety of real-world tasks but they have received little attention in the area of load-frequency control (LFC). In practice, LFC systems use proportional-integral controllers. However since these controllers are designed using a linear model, the nonlinearities...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008